The exploration/exploitation perspective is a well-known concept in the strategic management field;however,it has seldom been used to explore and analyze strategy at a national level.This study utilizes this perspecti...The exploration/exploitation perspective is a well-known concept in the strategic management field;however,it has seldom been used to explore and analyze strategy at a national level.This study utilizes this perspective to analyze China's eco-innovation mode in response to climate change.By categorizing eco-innovation into radical and incremental eco-innovation,we examine the relationship between these concepts using Y02 patents as a proxy and panel data from 30 Chinese provinces from 2004 to 2015.The results show that eco-innovation as a whole as well as both radical and incremental innovations are drivers for reducing carbon emissions.Furthermore,contradictory to most previous empirical results related to the complementarity hypothesis,we find a complementary relationship between radical and incremental eco-innovation.These results collectively represent China's unique eco-innovation mode,confirming the assumed diversity of eco-innovation models in different contexts.The results also show the significant positive effects of economic development,urbanization level,industrial structure,and China's opening up on carbon emissions,indicating that economic and social development have not yet been completely dissociated from carbon emissions in China.展开更多
In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm （EA） is proposed in this paper. The definition domain is divided into n-...In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm （EA） is proposed in this paper. The definition domain is divided into n-dimension cubic sub-domains （cell） and each individual locates at an ndimensional cube. Cell-shift crossover first exchanges the cell numbers of the crossover pair if they are in the different cells （exploration） and subsequently shift the first individual from its initial place to the other individual＇s cell place. If they are already in the same cell heuristic crossover （exploitation） is used. Cell-shift/heuristic crossover adaptively executes exploration/exploitation search with the vary of genetic diversity. The cell-shift EA has excellent performance in terms of efficiency and efficacy on ten usually used optimization benchmarks when comparing with the recent well-known FEP evolutionary algorithm.展开更多
The concurrent exploration of shale oil wells in the Gulong Sag of the Songliao Basin has uncovered promising hydrocarbon shows in the Fuyu pay zone of the Lower Cretaceous Quantou Formation.To assess the hydrocarbon ...The concurrent exploration of shale oil wells in the Gulong Sag of the Songliao Basin has uncovered promising hydrocarbon shows in the Fuyu pay zone of the Lower Cretaceous Quantou Formation.To assess the hydrocarbon exploration potential of the Fuyu pay zone,this study systematically analyzes the main controlling factors for hydrocarbon accumulation,including source rock conditions,reservoir characteristics and migration capacity,in the deep area of the Gulong Sag,using seismic,drilling and core data,and reveals the hydrocarbon enrichment mechanism and accumulation model.The results indicate that the source rocks in the first member of Cretaceous Qingshankou Formation(Qing-1 Member)in the Gulong Sag are widely distributed,characterized by high quality,large area,high maturity and high hydrocarbon generation intensity,providing an ample oil source for the Fuyu pay zone.The Fuyu pay zone in the Gulong Sag features multi-phase channel sand bodies and beach-bar sands that are laterally superimposed and vertically stacked,forming large-scale sand-rich reservoir assemblages,which provide the storage space for tight oil enrichment.Influenced by overpressure pore preservation and dissolution-enhanced porosity,the porosity of the Fuyu pay zone can reach up to 13%,meeting the reservoir conditions necessary for large-scale tight oil enrichment.The episodic opening of hydrocarbon-source connected faults during the hydrocarbon expulsion period,combined with source-reservoir pressure differentials,drives the efficient charging and enrichment of hydrocarbons into the underlying tight reservoirs.The hydrocarbon accumulation model of the Fuyu pay zone is summarized as“source-reservoir juxtaposition,overpressure charging,lateral source-reservoir connection+vertical fault-directed bidirectional hydrocarbon supply,continuous sand body distribution,and large-scale enrichment in fault-horst belts”.A new insight for the deep area of the Gulong Sag is proposed as being sand-rich,having superior reservoirs,and being oil-rich.This insight guided the deployment of three risk exploration wells.The Well HT1H achieved a high-yield industrial oil flow rate of 35.27 t/d during testing,discovering light tight oil with low density and low viscosity.Through horizontal well volumetric fracturing treatment,the Well HT1H achieved the first high-yield breakthrough of tight oil in the deep area of the Gulong Sag,confirming the presence of geological conditions for large-scale hydrocarbon accumulation in this area.This expands the potential for hundred-million-ton tight oil resource additions in the Songliao Basin and deepens the theoretical understanding of continental tight oil accumulation.展开更多
Time flows with no stop,and seasons change in swift succession.As we bid farewell to 2025 and welcome the Spring Festival of 2026,the Editorial Office of Petroleum Exploration and Development extends our most heartfel...Time flows with no stop,and seasons change in swift succession.As we bid farewell to 2025 and welcome the Spring Festival of 2026,the Editorial Office of Petroleum Exploration and Development extends our most heartfelt gratitude and sincerest New Year wishes to our editorial board members,experts,authors,readers,and friends from all sectors.展开更多
The Neogene Shawan Formation in the Chepaizi Uplift of the Junggar Basin(NW China)has obtained high oil flow,demonstrating a good potential for oil and gas exploration.The multi-source hydrocarbon generation backgroun...The Neogene Shawan Formation in the Chepaizi Uplift of the Junggar Basin(NW China)has obtained high oil flow,demonstrating a good potential for oil and gas exploration.The multi-source hydrocarbon generation background and strong tectonic activity have led to the simultaneous production of heavy oil and light oil from multi-layer in the area,which makes it very difficult to identify oil origins,presently,the hot debate on the oil origins needs to be clarified.In this paper,due to the selective consumption of different types of compounds in crude oils by severe and intense biodegradation,the commonly used oilsource correlation tools are ineffective or may produce misleading results,this study adopted a biomarker recovery method based on the principle of mass conservation that uses the sum of the mass of the residual biomarkers and their corresponding biodegradation products to obtain the mass of the original biomarkers,improving the reliability of oil origins determination.Based on the nature and occurrence of crude oils,the investigated oils are subdivided into three types,Group A,Group B and Group C.Group A,light oils occurred mainly in lower structure Neogene Shawan Formation in the western Chepaizi Uplift,while Group B,heavy oils occurred mainly in higher structure Neogene Shawan Formation in the western Chepaizi Uplift.The two types of crude oils may come from the mixed source of Jurassic Badaowan Formation source rocks(J_(1)b)and Paleogene Anjihaihe Formation source rocks(E_(2-3)a)in the Sikeshu Sag,and Jurassic Badaowan Formation source rocks(J_(1)b)are the main source of crude oils.Group C,heavy oils occurred mainly in Neogene Shawan Formation in the eastern Chepaizi Uplift,showing good correlation with the Permian(P_(1)f and P_(2)w)source rocks in the Shawan Sag.At the same time,by combining stable carbon isotope and parameters related to triaromatic steroids,the accuracy of the oilsource correlation results by biomarker recovery method was further verified.展开更多
Oil and gas resources serve as the driving force for economic and social development.This rapid development of science and technology has accelerated the exploration,development,and utilization of oil and gas resource...Oil and gas resources serve as the driving force for economic and social development.This rapid development of science and technology has accelerated the exploration,development,and utilization of oil and gas resources,and thus led to spurts in related research.However,the research trends in global oil and gas exploration vary with the progress of science and technology as well as social demands.Accordingly,they are not easily captured.This study explores the research trends in global oil and gas exploration through the bibliometric analysis of 3460 articles on oil and gas exploration collected from the Web of Science database and published from 2013 to 2023.The research hotspots,objects,regional distribution,methods,and evaluation methods in oil and gas exploration are analyzed,and the direction of development of oil and gas exploration is presented on this basis.The research characteristics of four major countries or regions related to oil and gas exploration were further investigated and compared.The results show that the number of publications on oil and gas exploration research has been continuously increasing in the past decade,with China ranking the top in terms of publications.Given the continuously evolving global energy demand,exploration of unconventional oil and gas,application of digital technology,deep and emerging regional resource exploration,and environmentally friendly and low-carbon source exploration will be future research hotspots.展开更多
The most common aspect of water conveyance tunnel construction is the use of horizontal and sub-horizontal exploration drilling of headings of a tunnel to predict geology and groundwater conditions.The instability of ...The most common aspect of water conveyance tunnel construction is the use of horizontal and sub-horizontal exploration drilling of headings of a tunnel to predict geology and groundwater conditions.The instability of boreholes,extreme loss of circulation,and high-head inflow are also common in fractured strata,which often inhibit completion of probe holes and the reliability of coring,packer testing,and grouting tests.Casing,consequently,is a significant enabling technology to stabilize fractured intervals and has a hydraulic isolation under coupled mechanical and hydrogeological disturbances.The review is a synthesis of research and engineering experience on methods of casing to be used in horizontal drilling of fractured rock masses used in the exploration of water conveyance tunnels.The geological and working environment is initially outlined with a focus on fracture-adaptable instability processes and the special goings on of underground drilling,such as the restricted workspace,cuttings difficult to move,and fast movement of the competent and crushed regions.Types of casing systems are then listed,including both standard threaded steel strings and telescopic programs,and more specialized casing system types,including expandable casing,swellable sealing elements,and external casing packers.Special focus is made on the sealing of annulus in horizontal holes,wherein slurry loss,gravity segregation,and non-uniform borehole geometry usually worsen isolation.Lastly,the article suggests adaptive choice of strategy according to real-time drilling reaction,and research priorities,such as tunnel-specific performance measurements,coupled hydro-mechanical modelling,and field trials of sophisticated sealing material and data-driven choice making.展开更多
The integration of Artificial Intelligence(AI)and Machine Learning(ML)into groundwater exploration and water resources management has emerged as a transformative approach to addressing global water challenges.This rev...The integration of Artificial Intelligence(AI)and Machine Learning(ML)into groundwater exploration and water resources management has emerged as a transformative approach to addressing global water challenges.This review explores key AI and ML concepts,methodologies,and their applications in hydrology,focusing on groundwater potential mapping,water quality prediction,and groundwater level forecasting.It discusses various data acquisition techniques,including remote sensing,geospatial analysis,and geophysical surveys,alongside preprocessing methods that are essential for enhancing model accuracy.The study highlights AI-driven solutions in water distribution,allocation optimization,and realtime resource management.Despite their advantages,the application of AI and ML in water sciences faces several challenges,including data scarcity,model reliability,and the integration of these tools with traditional water management systems.Ethical and regulatory concerns also demand careful consideration.The paper also outlines future research directions,emphasizing the need for improved data collection,interpretable models,real-time monitoring capabilities,and interdisciplinary collaboration.By leveraging AI and ML advancements,the water sector can enhance decision-making,optimize resource distribution,and support the development of sustainable water management strategies.展开更多
Unmanned Aerial Vehicle(UAV)plays a prominent role in various fields,and autonomous navigation is a crucial component of UAV intelligence.Deep Reinforcement Learning(DRL)has expanded the research avenues for addressin...Unmanned Aerial Vehicle(UAV)plays a prominent role in various fields,and autonomous navigation is a crucial component of UAV intelligence.Deep Reinforcement Learning(DRL)has expanded the research avenues for addressing challenges in autonomous navigation.Nonetheless,challenges persist,including getting stuck in local optima,consuming excessive computations during action space exploration,and neglecting deterministic experience.This paper proposes a noise-driven enhancement strategy.In accordance with the overall learning phases,a global noise control method is designed,while a differentiated local noise control method is developed by analyzing the exploration demands of four typical situations encountered by UAV during navigation.Both methods are integrated into a dual-model for noise control to regulate action space exploration.Furthermore,noise dual experience replay buffers are designed to optimize the rational utilization of both deterministic and noisy experience.In uncertain environments,based on the Twin Delay Deep Deterministic Policy Gradient(TD3)algorithm with Long Short-Term Memory(LSTM)network and Priority Experience Replay(PER),a Noise-Driven Enhancement Priority Memory TD3(NDE-PMTD3)is developed.We established a simulation environment to compare different algorithms,and the performance of the algorithms is analyzed in various scenarios.The training results indicate that the proposed algorithm accelerates the convergence speed and enhances the convergence stability.In test experiments,the proposed algorithm successfully and efficiently performs autonomous navigation tasks in diverse environments,demonstrating superior generalization results.展开更多
In 2001, the International Seabed Authority （ISBA） initiated the consideration relating to the Regulations for Prospecting and Exploration for Hydrothermal Polymetallic Sulphides and Cobalt-rich Ferromanganese Crust...In 2001, the International Seabed Authority （ISBA） initiated the consideration relating to the Regulations for Prospecting and Exploration for Hydrothermal Polymetallic Sulphides and Cobalt-rich Ferromanganese Crusts in the Area at its 7th session. Since then, the consideration of the Regulations has been mainly focused on the size of areas to be allocated for exploration and exploitation of the crusts. This paper, based on the investigation data and the analysis of the distribution characteristics of the crusts, suggests a model for determining the size of areas for exploration and exploitation of the crusts, taking into account various factors such as production scale, crust thickness and grade, mineable area proportion, recovery efficiency, exploration venture, and so on. Through the modeling, the paper suggests that the exploration area （the area covered by each application for approval of a plan of work for exploration of cobalt-rich crusts） shall be 4 856 km2 and the exploitation area （the mine site area） shall be 1 214 km2, for 20 years of 1 million wet tonnes annual production.展开更多
In 2025,the global rare earth exploration and development sector achieved breakthroughs across multiple fronts.Projects advanced intensively across the Americas,Oceania,Africa,and Europe,with significant growth in res...In 2025,the global rare earth exploration and development sector achieved breakthroughs across multiple fronts.Projects advanced intensively across the Americas,Oceania,Africa,and Europe,with significant growth in resources,continuous emergence of new deposits,and strong impetus injected into the industry by technological innovation and policy support.The global rare earth resource supply pattern was further optimized (Table 1).1.Fruitful results in resource growth and new deposit discoveriesBrazil emerged as a core region for resource growth.The Colossus rare earth deposit saw a 150%increase in resources and announced its first reserve estimate.The Caldeira rare earth deposit’s resource estimate grew by 50%.The combined ore resources in the Caladão rare earth deposit’s Zones A and B reached 5.72×10~8 tonnes,with a total rare earth oxide(TREO) grade of 0.1506%,concurrently hosting 2.29×10~4tonnes of gallium metal resources.展开更多
Genetic search plays an important role in Evolutionary Computation (EC). There are two important issues in the evolution process of the genetic search: exploration and exploitation. Exploration is the creation of popu...Genetic search plays an important role in Evolutionary Computation (EC). There are two important issues in the evolution process of the genetic search: exploration and exploitation. Exploration is the creation of population diversity by exploring the search space; exploitation is the reduction of the diversity by focusing on the individuals of higher fitness, or exploiting the fitness information (or knowledge) represented within the population. We theoretically analyze the impact of the genetic operators on the balance. In order to further explain the impact, some results of our research on ESs are showed. Finally we conclude that to make the algorithm more efficient, it is important to strike a balance between these two factors.展开更多
Based on the ArcGIS geographic information system and the ORACLE database management system,this paper reports our studies on the technology of Marine Engineering Geological Exploration Information System(MEGEIS). By ...Based on the ArcGIS geographic information system and the ORACLE database management system,this paper reports our studies on the technology of Marine Engineering Geological Exploration Information System(MEGEIS). By analyzing system structure,designing function modules and discussing data management,this paper systematically proposes a framework of technol-ogy to integrate,manage,and analyze the seabed information comprehensively. Then,the technology is applied to the design and development of the Bohai Sea Oilfield Paradigm Area Information System. The system can not only meet the practical demands of marine resources exploration and exploitation in the Bohai Sea oilfield,but also serve as a preparatory work in theory and technology for the realization of the 'Digital Seabed'.展开更多
In any classical value-based reinforcement learning method,an agent,despite of its continuous interactions with the environment,is yet unable to quickly generate a complete and independent description of the entire en...In any classical value-based reinforcement learning method,an agent,despite of its continuous interactions with the environment,is yet unable to quickly generate a complete and independent description of the entire environment,leaving the learning method to struggle with a difficult dilemma of choosing between the two tasks,namely exploration and exploitation.This problem becomes more pronounced when the agent has to deal with a dynamic environment,of which the configuration and/or parameters are constantly changing.In this paper,this problem is approached by first mapping a reinforcement learning scheme to a directed graph,and the set that contains all the states already explored shall continue to be exploited in the context of such a graph.We have proved that the two tasks of exploration and exploitation eventually converge in the decision-making process,and thus,there is no need to face the exploration vs.exploitation tradeoff as all the existing reinforcement learning methods do.Rather this observation indicates that a reinforcement learning scheme is essentially the same as searching for the shortest path in a dynamic environment,which is readily tackled by a modified Floyd-Warshall algorithm as proposed in the paper.The experimental results have confirmed that the proposed graph-based reinforcement learning algorithm has significantly higher performance than both standard Q-learning algorithm and improved Q-learning algorithm in solving mazes,rendering it an algorithm of choice in applications involving dynamic environments.展开更多
A series of laws and regulations related to the oil and gas.resources have already been pro-mu]gated and provided a legal basis for the activities of petroleum exploration and exploita-tion in China.These laws are as ...A series of laws and regulations related to the oil and gas.resources have already been pro-mu]gated and provided a legal basis for the activities of petroleum exploration and exploita-tion in China.These laws are as follows:展开更多
In 2018,international oil prices fluctuated in a wide range,along with the recovery of the oil and gas industry.The China oil and gas resources exploration and production investment continued to upturn,and the physica...In 2018,international oil prices fluctuated in a wide range,along with the recovery of the oil and gas industry.The China oil and gas resources exploration and production investment continued to upturn,and the physical workload rapidly increased.There is a good momentum of oil and gas exploration development.The new proved reserves of oil and gas ceased falling and rebounded,and one 100 million tons(Mt)oilfield,three 1×10^11 m^3 gas fields,and one 1×10^11 m^3 shale gas field were newly added.Oil and gas production shows a trend of“oil stable gas rise”:Oil production remains basically stable and natural gas production grows rapidly.Reform of the oil and gas exploration and production management system has been steadily advanced,and important progress has been made in oil and gas geological surveys.展开更多
Bubbles play crucial roles in various fields,including naval and ocean engineering,chemical engineering,and biochemical engineering.Numerous theoretical analyses,numerical simulations,and experimental studies have bee...Bubbles play crucial roles in various fields,including naval and ocean engineering,chemical engineering,and biochemical engineering.Numerous theoretical analyses,numerical simulations,and experimental studies have been conducted to reveal the mysteries of bubble motion and its mechanisms.These efforts have significantly advanced research in bubble dynamics,where theoretical study is an efficient method for bubble motion prediction.Since Lord Rayleigh introduced the theoretical model of single-bubble motion in incompressible fluid in 1917,theoretical studies have been pivotal in understanding bubble dynamics.This study provides a comprehensive review of the development and applicability of theoretical studies in bubble dynamics using typical theoretical bubble models across different periods as a focal point and an overview of bubble theory applications in underwater explosion,marine cavitation,and seismic exploration.This study aims to serve as a reference and catalyst for further advancements in theoretical analysis and practical applications of bubble theory across marine fields.展开更多
Embodied visual exploration is critical for building intelligent visual agents. This paper presents the neural exploration with feature-based visual odometry and tracking-failure-reduction policy(Ne OR), a framework f...Embodied visual exploration is critical for building intelligent visual agents. This paper presents the neural exploration with feature-based visual odometry and tracking-failure-reduction policy(Ne OR), a framework for embodied visual exploration that possesses the efficient exploration capabilities of deep reinforcement learning(DRL)-based exploration policies and leverages feature-based visual odometry(VO) for more accurate mapping and positioning results. An improved local policy is also proposed to reduce tracking failures of feature-based VO in weakly textured scenes through a refined multi-discrete action space, keyframe fusion, and an auxiliary task. The experimental results demonstrate that Ne OR has better mapping and positioning accuracy compared to other entirely learning-based exploration frameworks and improves the robustness of feature-based VO by significantly reducing tracking failures in weakly textured scenes.展开更多
The Zijinshan ore field located in southwestern Fujian Province,China,is a representative porphyry-epithermal ore system hosting diverse mineralization types(Mao et al.,2013).The ore field comprises of the Zijinshan h...The Zijinshan ore field located in southwestern Fujian Province,China,is a representative porphyry-epithermal ore system hosting diverse mineralization types(Mao et al.,2013).The ore field comprises of the Zijinshan highsulfidation Cu-Au deposit,the Luoboling porphyry Cu-Mo deposit,the transitional style Cu deposit(Longjiangting and Wuziqilong)and the Yueyang low-sulfidation Agpolymetallic deposit(Zhang,2013;Zhang et al.,2003)展开更多
基金supported by the National Natural Science Foundation of China“Research on Value Chain Structure and Firm Embeddedness of Emerging Industries Driven by Technology Convergence”[Grant number 71704069]the Humanities and Social Science Foundation of China's Ministry of Education“Research on the Formation Mechanism of Dynamic Capability of China's Manufacturing Clusters for Sustainable Eco-innovation”[Grant number 16YJC630125]+1 种基金the Social Science Foundation of Jiangsu Province“Research on Eco-innovation and New Competitive Advantages of Jiangsu Manufacturing Industrial Clusters”[Grant number 17GLB020]the Natural Science Foundation of the Jiangsu Higher Education Institutions“Spatial Pattern Evolution and Influencing Factors of Carbon Emissions Efficiency of Construction Industry in China”[Grant number 17KJB170004]。
文摘The exploration/exploitation perspective is a well-known concept in the strategic management field;however,it has seldom been used to explore and analyze strategy at a national level.This study utilizes this perspective to analyze China's eco-innovation mode in response to climate change.By categorizing eco-innovation into radical and incremental eco-innovation,we examine the relationship between these concepts using Y02 patents as a proxy and panel data from 30 Chinese provinces from 2004 to 2015.The results show that eco-innovation as a whole as well as both radical and incremental innovations are drivers for reducing carbon emissions.Furthermore,contradictory to most previous empirical results related to the complementarity hypothesis,we find a complementary relationship between radical and incremental eco-innovation.These results collectively represent China's unique eco-innovation mode,confirming the assumed diversity of eco-innovation models in different contexts.The results also show the significant positive effects of economic development,urbanization level,industrial structure,and China's opening up on carbon emissions,indicating that economic and social development have not yet been completely dissociated from carbon emissions in China.
文摘In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm （EA） is proposed in this paper. The definition domain is divided into n-dimension cubic sub-domains （cell） and each individual locates at an ndimensional cube. Cell-shift crossover first exchanges the cell numbers of the crossover pair if they are in the different cells （exploration） and subsequently shift the first individual from its initial place to the other individual＇s cell place. If they are already in the same cell heuristic crossover （exploitation） is used. Cell-shift/heuristic crossover adaptively executes exploration/exploitation search with the vary of genetic diversity. The cell-shift EA has excellent performance in terms of efficiency and efficacy on ten usually used optimization benchmarks when comparing with the recent well-known FEP evolutionary algorithm.
基金Supported by the PetroChina Oil,Gas and New Energy Division Science and Technology Special Project(2023YQX10102)。
文摘The concurrent exploration of shale oil wells in the Gulong Sag of the Songliao Basin has uncovered promising hydrocarbon shows in the Fuyu pay zone of the Lower Cretaceous Quantou Formation.To assess the hydrocarbon exploration potential of the Fuyu pay zone,this study systematically analyzes the main controlling factors for hydrocarbon accumulation,including source rock conditions,reservoir characteristics and migration capacity,in the deep area of the Gulong Sag,using seismic,drilling and core data,and reveals the hydrocarbon enrichment mechanism and accumulation model.The results indicate that the source rocks in the first member of Cretaceous Qingshankou Formation(Qing-1 Member)in the Gulong Sag are widely distributed,characterized by high quality,large area,high maturity and high hydrocarbon generation intensity,providing an ample oil source for the Fuyu pay zone.The Fuyu pay zone in the Gulong Sag features multi-phase channel sand bodies and beach-bar sands that are laterally superimposed and vertically stacked,forming large-scale sand-rich reservoir assemblages,which provide the storage space for tight oil enrichment.Influenced by overpressure pore preservation and dissolution-enhanced porosity,the porosity of the Fuyu pay zone can reach up to 13%,meeting the reservoir conditions necessary for large-scale tight oil enrichment.The episodic opening of hydrocarbon-source connected faults during the hydrocarbon expulsion period,combined with source-reservoir pressure differentials,drives the efficient charging and enrichment of hydrocarbons into the underlying tight reservoirs.The hydrocarbon accumulation model of the Fuyu pay zone is summarized as“source-reservoir juxtaposition,overpressure charging,lateral source-reservoir connection+vertical fault-directed bidirectional hydrocarbon supply,continuous sand body distribution,and large-scale enrichment in fault-horst belts”.A new insight for the deep area of the Gulong Sag is proposed as being sand-rich,having superior reservoirs,and being oil-rich.This insight guided the deployment of three risk exploration wells.The Well HT1H achieved a high-yield industrial oil flow rate of 35.27 t/d during testing,discovering light tight oil with low density and low viscosity.Through horizontal well volumetric fracturing treatment,the Well HT1H achieved the first high-yield breakthrough of tight oil in the deep area of the Gulong Sag,confirming the presence of geological conditions for large-scale hydrocarbon accumulation in this area.This expands the potential for hundred-million-ton tight oil resource additions in the Songliao Basin and deepens the theoretical understanding of continental tight oil accumulation.
文摘Time flows with no stop,and seasons change in swift succession.As we bid farewell to 2025 and welcome the Spring Festival of 2026,the Editorial Office of Petroleum Exploration and Development extends our most heartfelt gratitude and sincerest New Year wishes to our editorial board members,experts,authors,readers,and friends from all sectors.
基金co-funded by the National Natural Science Foundation of China(42372160,42072172)。
文摘The Neogene Shawan Formation in the Chepaizi Uplift of the Junggar Basin(NW China)has obtained high oil flow,demonstrating a good potential for oil and gas exploration.The multi-source hydrocarbon generation background and strong tectonic activity have led to the simultaneous production of heavy oil and light oil from multi-layer in the area,which makes it very difficult to identify oil origins,presently,the hot debate on the oil origins needs to be clarified.In this paper,due to the selective consumption of different types of compounds in crude oils by severe and intense biodegradation,the commonly used oilsource correlation tools are ineffective or may produce misleading results,this study adopted a biomarker recovery method based on the principle of mass conservation that uses the sum of the mass of the residual biomarkers and their corresponding biodegradation products to obtain the mass of the original biomarkers,improving the reliability of oil origins determination.Based on the nature and occurrence of crude oils,the investigated oils are subdivided into three types,Group A,Group B and Group C.Group A,light oils occurred mainly in lower structure Neogene Shawan Formation in the western Chepaizi Uplift,while Group B,heavy oils occurred mainly in higher structure Neogene Shawan Formation in the western Chepaizi Uplift.The two types of crude oils may come from the mixed source of Jurassic Badaowan Formation source rocks(J_(1)b)and Paleogene Anjihaihe Formation source rocks(E_(2-3)a)in the Sikeshu Sag,and Jurassic Badaowan Formation source rocks(J_(1)b)are the main source of crude oils.Group C,heavy oils occurred mainly in Neogene Shawan Formation in the eastern Chepaizi Uplift,showing good correlation with the Permian(P_(1)f and P_(2)w)source rocks in the Shawan Sag.At the same time,by combining stable carbon isotope and parameters related to triaromatic steroids,the accuracy of the oilsource correlation results by biomarker recovery method was further verified.
文摘Oil and gas resources serve as the driving force for economic and social development.This rapid development of science and technology has accelerated the exploration,development,and utilization of oil and gas resources,and thus led to spurts in related research.However,the research trends in global oil and gas exploration vary with the progress of science and technology as well as social demands.Accordingly,they are not easily captured.This study explores the research trends in global oil and gas exploration through the bibliometric analysis of 3460 articles on oil and gas exploration collected from the Web of Science database and published from 2013 to 2023.The research hotspots,objects,regional distribution,methods,and evaluation methods in oil and gas exploration are analyzed,and the direction of development of oil and gas exploration is presented on this basis.The research characteristics of four major countries or regions related to oil and gas exploration were further investigated and compared.The results show that the number of publications on oil and gas exploration research has been continuously increasing in the past decade,with China ranking the top in terms of publications.Given the continuously evolving global energy demand,exploration of unconventional oil and gas,application of digital technology,deep and emerging regional resource exploration,and environmentally friendly and low-carbon source exploration will be future research hotspots.
文摘The most common aspect of water conveyance tunnel construction is the use of horizontal and sub-horizontal exploration drilling of headings of a tunnel to predict geology and groundwater conditions.The instability of boreholes,extreme loss of circulation,and high-head inflow are also common in fractured strata,which often inhibit completion of probe holes and the reliability of coring,packer testing,and grouting tests.Casing,consequently,is a significant enabling technology to stabilize fractured intervals and has a hydraulic isolation under coupled mechanical and hydrogeological disturbances.The review is a synthesis of research and engineering experience on methods of casing to be used in horizontal drilling of fractured rock masses used in the exploration of water conveyance tunnels.The geological and working environment is initially outlined with a focus on fracture-adaptable instability processes and the special goings on of underground drilling,such as the restricted workspace,cuttings difficult to move,and fast movement of the competent and crushed regions.Types of casing systems are then listed,including both standard threaded steel strings and telescopic programs,and more specialized casing system types,including expandable casing,swellable sealing elements,and external casing packers.Special focus is made on the sealing of annulus in horizontal holes,wherein slurry loss,gravity segregation,and non-uniform borehole geometry usually worsen isolation.Lastly,the article suggests adaptive choice of strategy according to real-time drilling reaction,and research priorities,such as tunnel-specific performance measurements,coupled hydro-mechanical modelling,and field trials of sophisticated sealing material and data-driven choice making.
文摘The integration of Artificial Intelligence(AI)and Machine Learning(ML)into groundwater exploration and water resources management has emerged as a transformative approach to addressing global water challenges.This review explores key AI and ML concepts,methodologies,and their applications in hydrology,focusing on groundwater potential mapping,water quality prediction,and groundwater level forecasting.It discusses various data acquisition techniques,including remote sensing,geospatial analysis,and geophysical surveys,alongside preprocessing methods that are essential for enhancing model accuracy.The study highlights AI-driven solutions in water distribution,allocation optimization,and realtime resource management.Despite their advantages,the application of AI and ML in water sciences faces several challenges,including data scarcity,model reliability,and the integration of these tools with traditional water management systems.Ethical and regulatory concerns also demand careful consideration.The paper also outlines future research directions,emphasizing the need for improved data collection,interpretable models,real-time monitoring capabilities,and interdisciplinary collaboration.By leveraging AI and ML advancements,the water sector can enhance decision-making,optimize resource distribution,and support the development of sustainable water management strategies.
基金the Collaborative Innovation Project of Shanghai,China for the financial support。
文摘Unmanned Aerial Vehicle(UAV)plays a prominent role in various fields,and autonomous navigation is a crucial component of UAV intelligence.Deep Reinforcement Learning(DRL)has expanded the research avenues for addressing challenges in autonomous navigation.Nonetheless,challenges persist,including getting stuck in local optima,consuming excessive computations during action space exploration,and neglecting deterministic experience.This paper proposes a noise-driven enhancement strategy.In accordance with the overall learning phases,a global noise control method is designed,while a differentiated local noise control method is developed by analyzing the exploration demands of four typical situations encountered by UAV during navigation.Both methods are integrated into a dual-model for noise control to regulate action space exploration.Furthermore,noise dual experience replay buffers are designed to optimize the rational utilization of both deterministic and noisy experience.In uncertain environments,based on the Twin Delay Deep Deterministic Policy Gradient(TD3)algorithm with Long Short-Term Memory(LSTM)network and Priority Experience Replay(PER),a Noise-Driven Enhancement Priority Memory TD3(NDE-PMTD3)is developed.We established a simulation environment to compare different algorithms,and the performance of the algorithms is analyzed in various scenarios.The training results indicate that the proposed algorithm accelerates the convergence speed and enhances the convergence stability.In test experiments,the proposed algorithm successfully and efficiently performs autonomous navigation tasks in diverse environments,demonstrating superior generalization results.
基金China International Seabed Area R & D Program under contract No.DYXM-115-01-1
文摘In 2001, the International Seabed Authority （ISBA） initiated the consideration relating to the Regulations for Prospecting and Exploration for Hydrothermal Polymetallic Sulphides and Cobalt-rich Ferromanganese Crusts in the Area at its 7th session. Since then, the consideration of the Regulations has been mainly focused on the size of areas to be allocated for exploration and exploitation of the crusts. This paper, based on the investigation data and the analysis of the distribution characteristics of the crusts, suggests a model for determining the size of areas for exploration and exploitation of the crusts, taking into account various factors such as production scale, crust thickness and grade, mineable area proportion, recovery efficiency, exploration venture, and so on. Through the modeling, the paper suggests that the exploration area （the area covered by each application for approval of a plan of work for exploration of cobalt-rich crusts） shall be 4 856 km2 and the exploitation area （the mine site area） shall be 1 214 km2, for 20 years of 1 million wet tonnes annual production.
文摘In 2025,the global rare earth exploration and development sector achieved breakthroughs across multiple fronts.Projects advanced intensively across the Americas,Oceania,Africa,and Europe,with significant growth in resources,continuous emergence of new deposits,and strong impetus injected into the industry by technological innovation and policy support.The global rare earth resource supply pattern was further optimized (Table 1).1.Fruitful results in resource growth and new deposit discoveriesBrazil emerged as a core region for resource growth.The Colossus rare earth deposit saw a 150%increase in resources and announced its first reserve estimate.The Caldeira rare earth deposit’s resource estimate grew by 50%.The combined ore resources in the Caladão rare earth deposit’s Zones A and B reached 5.72×10~8 tonnes,with a total rare earth oxide(TREO) grade of 0.1506%,concurrently hosting 2.29×10~4tonnes of gallium metal resources.
文摘Genetic search plays an important role in Evolutionary Computation (EC). There are two important issues in the evolution process of the genetic search: exploration and exploitation. Exploration is the creation of population diversity by exploring the search space; exploitation is the reduction of the diversity by focusing on the individuals of higher fitness, or exploiting the fitness information (or knowledge) represented within the population. We theoretically analyze the impact of the genetic operators on the balance. In order to further explain the impact, some results of our research on ESs are showed. Finally we conclude that to make the algorithm more efficient, it is important to strike a balance between these two factors.
文摘Based on the ArcGIS geographic information system and the ORACLE database management system,this paper reports our studies on the technology of Marine Engineering Geological Exploration Information System(MEGEIS). By analyzing system structure,designing function modules and discussing data management,this paper systematically proposes a framework of technol-ogy to integrate,manage,and analyze the seabed information comprehensively. Then,the technology is applied to the design and development of the Bohai Sea Oilfield Paradigm Area Information System. The system can not only meet the practical demands of marine resources exploration and exploitation in the Bohai Sea oilfield,but also serve as a preparatory work in theory and technology for the realization of the 'Digital Seabed'.
基金This research work is supported by Fujian Province Nature Science Foundation under Grant No.2018J01553.
文摘In any classical value-based reinforcement learning method,an agent,despite of its continuous interactions with the environment,is yet unable to quickly generate a complete and independent description of the entire environment,leaving the learning method to struggle with a difficult dilemma of choosing between the two tasks,namely exploration and exploitation.This problem becomes more pronounced when the agent has to deal with a dynamic environment,of which the configuration and/or parameters are constantly changing.In this paper,this problem is approached by first mapping a reinforcement learning scheme to a directed graph,and the set that contains all the states already explored shall continue to be exploited in the context of such a graph.We have proved that the two tasks of exploration and exploitation eventually converge in the decision-making process,and thus,there is no need to face the exploration vs.exploitation tradeoff as all the existing reinforcement learning methods do.Rather this observation indicates that a reinforcement learning scheme is essentially the same as searching for the shortest path in a dynamic environment,which is readily tackled by a modified Floyd-Warshall algorithm as proposed in the paper.The experimental results have confirmed that the proposed graph-based reinforcement learning algorithm has significantly higher performance than both standard Q-learning algorithm and improved Q-learning algorithm in solving mazes,rendering it an algorithm of choice in applications involving dynamic environments.
文摘A series of laws and regulations related to the oil and gas.resources have already been pro-mu]gated and provided a legal basis for the activities of petroleum exploration and exploita-tion in China.These laws are as follows:
文摘In 2018,international oil prices fluctuated in a wide range,along with the recovery of the oil and gas industry.The China oil and gas resources exploration and production investment continued to upturn,and the physical workload rapidly increased.There is a good momentum of oil and gas exploration development.The new proved reserves of oil and gas ceased falling and rebounded,and one 100 million tons(Mt)oilfield,three 1×10^11 m^3 gas fields,and one 1×10^11 m^3 shale gas field were newly added.Oil and gas production shows a trend of“oil stable gas rise”:Oil production remains basically stable and natural gas production grows rapidly.Reform of the oil and gas exploration and production management system has been steadily advanced,and important progress has been made in oil and gas geological surveys.
文摘Bubbles play crucial roles in various fields,including naval and ocean engineering,chemical engineering,and biochemical engineering.Numerous theoretical analyses,numerical simulations,and experimental studies have been conducted to reveal the mysteries of bubble motion and its mechanisms.These efforts have significantly advanced research in bubble dynamics,where theoretical study is an efficient method for bubble motion prediction.Since Lord Rayleigh introduced the theoretical model of single-bubble motion in incompressible fluid in 1917,theoretical studies have been pivotal in understanding bubble dynamics.This study provides a comprehensive review of the development and applicability of theoretical studies in bubble dynamics using typical theoretical bubble models across different periods as a focal point and an overview of bubble theory applications in underwater explosion,marine cavitation,and seismic exploration.This study aims to serve as a reference and catalyst for further advancements in theoretical analysis and practical applications of bubble theory across marine fields.
基金supported by the National Natural Science Foundation of China (No.62202137)the China Postdoctoral Science Foundation (No.2023M730599)the Zhejiang Provincial Natural Science Foundation of China (No.LMS25F020009)。
文摘Embodied visual exploration is critical for building intelligent visual agents. This paper presents the neural exploration with feature-based visual odometry and tracking-failure-reduction policy(Ne OR), a framework for embodied visual exploration that possesses the efficient exploration capabilities of deep reinforcement learning(DRL)-based exploration policies and leverages feature-based visual odometry(VO) for more accurate mapping and positioning results. An improved local policy is also proposed to reduce tracking failures of feature-based VO in weakly textured scenes through a refined multi-discrete action space, keyframe fusion, and an auxiliary task. The experimental results demonstrate that Ne OR has better mapping and positioning accuracy compared to other entirely learning-based exploration frameworks and improves the robustness of feature-based VO by significantly reducing tracking failures in weakly textured scenes.
基金financially supported by Zijin Mining Group(No.01612216)the Ministry of Natural Resources,China(No.ZKKJ202426)。
文摘The Zijinshan ore field located in southwestern Fujian Province,China,is a representative porphyry-epithermal ore system hosting diverse mineralization types(Mao et al.,2013).The ore field comprises of the Zijinshan highsulfidation Cu-Au deposit,the Luoboling porphyry Cu-Mo deposit,the transitional style Cu deposit(Longjiangting and Wuziqilong)and the Yueyang low-sulfidation Agpolymetallic deposit(Zhang,2013;Zhang et al.,2003)
