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A Study on the Performances and Parameter-Dependence of Water-Alternating-Gas Flooding for Conglomerate Reservoirs
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作者 Haishui Han Jian Tan +5 位作者 Junshi Li Changhong Zhao Ruoyu Liu Qun Zhang Zemin Ji Hao Kang 《Fluid Dynamics & Materials Processing》 2025年第2期293-308,共16页
To address the water sensitivity of conglomerate reservoirs,a series of core sensitivity tests were conducted to evaluate the effects of varying ionic content.These findings serve as a foundation for improving reservo... To address the water sensitivity of conglomerate reservoirs,a series of core sensitivity tests were conducted to evaluate the effects of varying ionic content.These findings serve as a foundation for improving reservoir fluid dynamics and optimizing the concentration of anti-swelling agents in water flooding operations.The experiments revealed a marked disparity in response between cores with differing permeabilities.In Core No.5,characterized by low permeability,a 0.5% anti-swelling agent achieved only a modest 7.47% reduction in water sensitivity.Conversely,in the higher-permeability Core No.8,a 5%anti-swelling agent significantly reduced the water sensitivity index by 44.84% while enhancing permeability.Further,two displacement strategies-gas flooding following water flooding and water flooding after gas injection-were tested to assess the potential of CO_(2)water-alternating-gas(WAG)displacement.CO_(2)injection after water flooding in Core No.5 increased oil recovery by 9.24%,though gas channeling,evidenced by a sharp rise in the gas-liquid ratio,emerged as a critical concern.In Core No.8,water flooding following gas injection failed to improve recovery,likely due to pronounced water sensitivity,reduced permeability,and the formation of dominant flow channels under high displacement pressure,which limited sweep efficiency. 展开更多
关键词 Water sensitivity conglomerate reservoir water flooding WAG CO_(2)drive
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Quantitative evaluation methods for waterflooded layers of conglomerate reservoir based on well logging data 被引量:22
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作者 Tan Fengqi Li Hongqi +2 位作者 Xu Changfu Li Qingyuan Peng Shouchang 《Petroleum Science》 SCIE CAS CSCD 2010年第4期485-493,共9页
The rapid changing near source, multi-stream depositional environment of conglomerate reservoirs leads to severe heterogeneity, complex lithology and physical properties, and large changes of oil layer resistivity. Qu... The rapid changing near source, multi-stream depositional environment of conglomerate reservoirs leads to severe heterogeneity, complex lithology and physical properties, and large changes of oil layer resistivity. Quantitative evaluation of water-flooded layers has become an important but difficult focus for secondary development of oilfields. In this paper, based on the analysis of current problems in quantitative evaluation of water-flooded layers, the Kexia Group conglomerate reservoir of the Sixth District in the Karamay Oilfield was studied. Eight types of conglomerate reservoir lithology were identified effectively by a data mining method combined with the data from sealed coring wells, and then a multi-parameter model for quantitative evaluation of the water-flooded layers of the main oil-bearing lithology was developed. Water production rate, oil saturation and oil productivity index were selected as the characteristic parameters for quantitative evaluation of water-flooded layers of conglomerate reservoirs. Finally, quantitative evaluation criteria and identification rules for water-flooded layers of main oil-bearing lithology formed by integration of the three characteristic parameters of water-flooded layer and undisturbed formation resistivity. This method has been used in evaluation of the water-flooded layers of a conglomerate reservoir in the Karamay Oilfield and achieved good results, improving the interpretation accuracy and compliance rate. It will provide technical support for avoiding perforation of high water-bearing layers and for adjustment of developmental programs. 展开更多
关键词 Water-flooded layer quantitative evaluation conglomerate reservoir lithology identification decision tree characteristic parameters
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Conglomerate Reservoir Pore Evolution Characteristics and Favorable Area Prediction: A Case Study of the Lower Triassic Baikouquan Formation in the Northwest Margin of the Junggar Basin, China 被引量:9
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作者 Meng Xiao Songtao Wu +1 位作者 Xuanjun Yuan Zongrui Xie 《Journal of Earth Science》 SCIE CAS CSCD 2021年第4期998-1010,共13页
This study examines the characteristics and pore evolution of the Baikouquan conglomerate reservoir in the Mahu sag of the Junggar Basin from original sedimentation and diagenesis.Analysis is based on core observation... This study examines the characteristics and pore evolution of the Baikouquan conglomerate reservoir in the Mahu sag of the Junggar Basin from original sedimentation and diagenesis.Analysis is based on core observation,thin section,X-ray diffraction,cathodoluminescence and image analysis,and combined with physical property and well log data.The results show that conglomerate reservoir in the Baikouquan Formation can be divided into three lithofacies types:TypeⅠis argillaceous filling conglomerate facies,in which cementation and dissolution are not developed,and the interstitial material is mainly argillaceous;TypeⅡis tuffaceous filling in fine conglomerate facies,in which volcanic rock debris,illite and dissolution are developed;TypeⅢis sandstone filling conglomerate facies,in which cementation and dissolution are developed.The reservoir undergoes complex diagenesis,and the diagenetic sequence is:compaction→early chlorite film→early calcite cementation→detritus,feldspar and tuffaceous dissolution→quartz secondary enlargement→late calcite cementation→oil invasion→forming illite.Quantitative study of pore evolution shows that dissolution and calcite cementation are relatively developed in lithofacies Type III,and that compaction has a great influence on lithofacies TypeⅠand II.According to comprehensive evaluation of lithofacies,diagenesis and pore structure characteristics,the reservoir space type is mainly the dissolution pore.It is mainly primarily mainly composed of lithofacies Type III,thickness of the gravel body is more than 25 m,porosity is generally more than 12%,which represents favorable conditions for the distribution of favorable reservoir. 展开更多
关键词 conglomerate reservoir lithofacies pore evolution favorable reservoir Junggar Basin
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Factors influencing oil recovery by surfactant-polymer flooding in conglomerate reservoirs and its quantitative calculation method 被引量:2
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作者 Feng-Qi Tan Chun-Miao Ma +2 位作者 Jian-Hua Qin Xian-Kun Li Wen-Tao Liu 《Petroleum Science》 SCIE CAS CSCD 2022年第3期1198-1210,共13页
This study aims to clarify the factors influencing oil recovery of surfactant-polymer(SP)flooding and to establish a quantitative calculation model of oil recovery during different displacement stages from water flood... This study aims to clarify the factors influencing oil recovery of surfactant-polymer(SP)flooding and to establish a quantitative calculation model of oil recovery during different displacement stages from water flooding to SP flooding.The conglomerate reservoir of the Badaowan Formation in the seventh block of the Karamay Oilfield is selected as the research object to reveal the start-up mechanism of residual oil and determine the controlling factors of oil recovery through SP flooding experiments of natural cores and microetching models.The experimental results are used to identify four types of residual oil after water flooding in this conglomerate reservoir with a complex pore structure:oil droplets retained in pore throats by capillary forces,oil cluster trapped at the junction of pores and throats,oil film on the rock surface,isolated oil in dead-ends of flow channel.For the four types of residual oil identified,the SP solution can enhance oil recovery by enlarging the sweep volume and improving the oil displacement efficiency.First,the viscosity-increasing effect of the polymer can effectively reduce the permeability of the displacement liquid phase,change the oil-water mobility ratio,and increase the water absorption.Furthermore,the stronger the shear drag force of the SP solution,the more the crude oil in a porous medium is displaced.Second,the surfactant can change the rock wettability and reduce the absorption capacity of residual oil by lowering interfacial tension.At the same time,the emulsification further increases the viscosity of the SP solution,and the residual oil is recovered effectively under the combined effect of the above two factors.For the four start-up mechanisms of residual oil identified after water flooding,enlarging the sweep volume and improving the oil displacement efficiency are interdependent,but their contribution to enhanced oil recovery are different.The SP flooding system primarily enlarges the sweep volume by increasing viscosity of solution to start two kinds of residual oil such as oil droplet retained in pore throats and isolated oil in dead-ends of flow channel,and primarily improves the oil displacement efficiency by lowing interfacial tension of oil phase to start two kinds of residual oil such as oil cluster trapped at the junction of pores and oil film on the rock surface.On this basis,the experimental results of the oil displacement from seven natural cores show that the pore structure of the reservoir is the main factor influencing water flooding recovery,while the physical properties and original oil saturation have relatively little influence.The main factor influencing SP flooding recovery is the physical and chemical properties of the solution itself,which primarily control the interfacial tension and solution viscosity in the reservoir.The residual oil saturation after water flooding is the material basis of SP flooding,and it is the second-most dominant factor controlling oil recovery.Combined with the analysis results of the influencing factors and reservoir parameters,the water flooding recovery index and SP flooding recovery index are defined to further establish quantitative calculation models of oil recovery under different displacement modes.The average relative errors of the two models are 4.4%and 2.5%,respectively;thus,they can accurately predict the oil recovery of different displacement stages and the ultimate reservoir oil recovery. 展开更多
关键词 conglomerate reservoir Water flooding Surfactant-polymer flooding Residual oil type Influencing factor Enhanced oil recovery Computational model
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Investigation on the influences of gravel characteristics on the hydraulic fracture propagation in the conglomerate reservoirs
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作者 Xiangjun Liu Andong Zhang +2 位作者 Yong Tang Xiaojun Wang Jian Xiong 《Natural Gas Industry B》 2022年第3期232-239,共8页
To explore the influences of gravel characteristics on hydraulic fracture propagation in conglomerate formations, the real rock fracture process analysis software was used under specific stress conditions: including g... To explore the influences of gravel characteristics on hydraulic fracture propagation in conglomerate formations, the real rock fracture process analysis software was used under specific stress conditions: including gravel particle size, gravel volume content, and gravel strength. Based on the numerical simulation results, the fracture propagation process under different conditions was investigated and the type and evolution of fractures were described. The results showed that larger gravel particle sizes led to stronger shielding and induction effects on the fractures. With the increasing gravel particle size, the propagation model of the fractures changes gradually from by passing gravel to passing through gravel or embedding in gravel particles. When the gravel particle sizes are constant, with increasing gravel volume content, the conglomerate reservoir becomes more heterogeneous and the fractures become more easily shielded and inducted by the gravel particles. Therefore, the fractures become more dispersed and the fracture propagation laws become more complex, which allows the formation of a hydraulic fracture network. The greater the difference in the ratio of the strength parameters of the gravel to the strength parameters of the matrix, the more strongly the fractures are blocked by the gravels and the propagation model of fractures changes from passing through gravel to by passing gravel. 展开更多
关键词 conglomerate reservoirs Gravel characteristics Hydraulic fracture Numerical simulation
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A Study on Identification of Conglomerate Reservoir Parameters and Oil/Water Beds in Ke82 Well Areas of Junggar Basin
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作者 Wang Guiwen Zhang Qing Li Mingrui Resources and Information Institute, University of Petroleum, Beijing 102249 《Journal of China University of Geosciences》 SCIE CSCD 2002年第4期338-344,共7页
This paper is mainly about the calculation of reservoir parameters and theinterpretation method for identifying oil/water beds in Ke82 well areas of Junggar basin. It isdifficult to determine the reservoir parameters ... This paper is mainly about the calculation of reservoir parameters and theinterpretation method for identifying oil/water beds in Ke82 well areas of Junggar basin. It isdifficult to determine the reservoir parameters with common logging methods such as core calibrationlog because of the diversity of minerals and rocks and the complexity of pore structures in theconglomerate reservoir of Junggar basin. Optimization logging exploration is a good method todetermine the porosity by establishing the multi-mineral model with logging curves based on theintegration of geological, core and well testing data. Permeability is identified by BP algorithm ofneural network. Hydrocarbon saturation is determined by correlating Archie's and Simandouxformulas. Comparing the exploratory result and core data, we can see that these methods areeffective for conglomerate logging exploration. We processed and explained six wells in the Ke82well areas. And actual interpretation has had very good results, 85 % of which conform to welltesting data. Therefore, this technique will be effective for identifying conglomerate parameters. 展开更多
关键词 reservoir parameters log interpretation model conglomerate reservoir junggar basin
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Origin and depositional characteristics of supported conglomerates 被引量:3
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作者 ZHANG Changmin SONG Xinmin +4 位作者 WANG Xiaojun WANG Xulong ZHAO Kang SHUANG Qi LI Shaohua 《Petroleum Exploration and Development》 2020年第2期292-305,共14页
The origin and depositional characteristics of supported conglomerates in the Mahu Sag, Junggar Basin, Xinjiang, China, are examined. Based on the terminological comparison, modern sedimentary survey and core descript... The origin and depositional characteristics of supported conglomerates in the Mahu Sag, Junggar Basin, Xinjiang, China, are examined. Based on the terminological comparison, modern sedimentary survey and core description, the initial connotation and similarities and differences in definition between supported conglomerates and other similar concepts are discussed, the modern sedimentary environment in which supported conglomerates develop is analyzed, and the sedimentological characteristics of supported conglomerates formed in different depositional environments revealed by the cores of Mahu conglomerate oil field in the Junggar Basin are described. The supported conglomerate is similar in texture to grain supported conglomerate and openwork conglomerate but has differences from them, so it is suggested to keep the term "supported conglomerate", but the formation mechanism of supported conglomerate needs to be re-examined. Through field survey of modern sediments in Baiyanghe alluvial fan, Huangyangquan alluvial fan, and Wulungu Lake in Xinjiang, it is found that supported gravels not only formed by flooding events but also by sieving, avalanching, fluvial sorting as well as wind and wave reworking in the depositional environments such as inter-mountain creek, colluvium fan, gravel channel on gobi and the fan surface, lake beach, delta front, subaerial debris flow and subwater grain-flow etc. Supported gravels could form supported conglomerate after being buried. Supported conglomerates of seven different origins have been recognized in the cores of the Triassic and Permian stratum of Mahu Depression, Junggar Basin, namely, supported conglomerates in gravel channel deposits, in wind reworked channel deposits, in gravel beach bar deposits, in wave reworked delta front deposits, in mouth bar deposits and in debris flow deposits respectively. The study shows the supported conglomerates may be formed by a single depositional event or by multi-events during the post-depositional sedimentary reworking and even in diagenesis stage. Through flume experiment, numerical simulation, empirical model and modern sediment survey, infiltration process of gravelly channel can be reconstructed and the primary pore structure of supported gravel can be estimated. Statistics on physical properties of various types of reservoirs in Triassic Baikouquan Formation of Mahu oilfield show that granule conglomerate and pebbly conglomerate have higher porosity and permeability, while the cobble and coarse pebble conglomerate have lower permeability, which indicates that the supported gravels are easy to be reworked by post depositional filtration and diagenesis, and thus decrease in porosity and permeability. 展开更多
关键词 supported conglomerate openwork conglomerate grain supported conglomerate rock texture sedimentary environment and facies reservoir rock conglomerate reservoir Mahu depression
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Similarity-based laboratory study of CO_(2) huff-n-puff in tight conglomerate cores 被引量:1
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作者 Yu-Long Yang Yu Hu +6 位作者 Ya-Ting Zhu Ji-Gang Zhang Ping Song Ming Qin Hai-Rong Wu Zhao-Jie Song Ji-Rui Hou 《Petroleum Science》 SCIE EI CAS CSCD 2023年第1期362-369,共8页
Tight conglomerate reservoirs are featured with extremely low permeability,strong heterogeneity and poor water injectivity.CO_(2) huff-n-puff has been considered a promising candidate to enhance oil recovery in tight ... Tight conglomerate reservoirs are featured with extremely low permeability,strong heterogeneity and poor water injectivity.CO_(2) huff-n-puff has been considered a promising candidate to enhance oil recovery in tight reservoirs,owing to its advantages in reducing oil viscosity,improving mobility ratio,quickly replenishing formation pressure,and potentially achieving a miscible state.However,reliable inhouse laboratory evaluation of CO_(2) huff-n-puff in natural conglomerate cores is challenging due to the inherent high formation pressure.In this study,we put forward an equivalent method based on the similarity of the miscibility index and Grashof number to acquire a lab-controllable pressure that features the flow characteristics of CO_(2) injection in a tight conglomerate reservoir.The impacts of depletion degree,pore volume injection of CO_(2) and soaking time on ultimate oil recovery in tight cores from the Mahu conglomerate reservoir were successfully tested at an equivalent pressure.Our results showed that oil recovery decreased with increased depletion degree while exhibiting a non-monotonic tendency(first increased and then decreased)with increased CO_(2) injection volume and soaking time.The lower oil recoveries under excess CO_(2) injection and soaking time were attributed to limited CO_(2) dissolution and asphaltene precipitation.This work guides secure and reliable laboratory design of CO_(2) huff-n-puff in tight reservoirs with high formation pressure. 展开更多
关键词 Tight conglomerate reservoir CO_(2)huff-n-puff Similarity-based equivalent pressure Enhanced oil recovery
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Intelligent optimization of fracturing stage and cluster parameters for tight oil reservoir
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作者 Huiying Tang Qi Ruan +4 位作者 Liehui Zhang Dandan Hu Jianhua Qin Yulong Zhao Yiping Ye 《Petroleum》 2025年第1期56-70,共15页
The Mahu oilfield in the Junggar Basin of Xinjiang has the characteristics of poor reservoir quality,large horizontal stress difference,and strong heterogeneity,which poses challenges in oil production due to the uncl... The Mahu oilfield in the Junggar Basin of Xinjiang has the characteristics of poor reservoir quality,large horizontal stress difference,and strong heterogeneity,which poses challenges in oil production due to the unclear hydraulic fracture geometry,large fracturing effectiveness difference among wells/stages,and the lack of automation in stage and cluster designs.To address the above issues,this study proposes systematically intelligent designs for stage and cluster parameters in the tight conglomerate oil reservoir in the Ma131 well area.First,through sensitivity analysis,the key parameters for stage division(storage coefficient,brittleness index,and minimum horizontal principal stress)are identified,and a stage di vision algorithm is developed based on the similarity of these key parameters.In order to quickly calculate the productivity of different cluster designs,a single cluster production prediction dataset was established by using the fracturing-production integrated numerical simulation method.Based on the results of fracturing stage division,cluster spacing and injection volume are quickly optimized using the above dataset,and the cluster locations are optimized with the objective of balanced fracture initiation and propagation.Finally,the automatic designs of fracturing stage and cluster starting from the well logging data is realized.Then,the proposed optimization method is applied to a practical well and both the production and profit are increased with the optimized designs.The proposed method can efficiently and intelligently optimize the stage and cluster designs for horizontal wells with the consideration of fracture propagation,productivity,and economic benefits,which helps provide theoretical and meth odological support for fracturing designs in unconventional reservoirs such as the tight conglomerate oil reservoirs in this work. 展开更多
关键词 Mahu oilfield Tight conglomerate reservoir Multi-stage fracturing of horizontal wells Stage and cluster optimization
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