In the so called “Group Problem” (we would like to term it “Group-Consulting Type Cooperation”), ESs of the same cooperating group may have different views towards the same problem, and the differences may sometim...In the so called “Group Problem” (we would like to term it “Group-Consulting Type Cooperation”), ESs of the same cooperating group may have different views towards the same problem, and the differences may sometimes be very great. For the circumstance of those ESs with relatively closer views, we present in this paper three methods of consistency treatment and a method for calcula- ting the maximal deviation of the confidence value about the cooperating group's common view based on the consistency degree of those different views. For the circumstance of those views being not very close to each other and also not very different from each other, we designed two synthesis functions for synthesizing multiple views. These two circumstances are formally defined in this paper. A comparison be- tween these two functions and the combining function in is also demonstrated. In the last section of this paper, we present a discussion about some further research topics of conflict-resolution in the group problem.展开更多
Reducing the operation and maintenance (O & M) cost is one of the potential actions that could reduce the cost of energy produced by offshore wind farms. This article attempts to reduce O & M cost by improving...Reducing the operation and maintenance (O & M) cost is one of the potential actions that could reduce the cost of energy produced by offshore wind farms. This article attempts to reduce O & M cost by improving the utilization of the maintenance resources, specifically the efficient scheduling and routing of the maintenance fleet. Scheduling and routing of maintenance fleet is a non-linear optimization problem with high complexity and a number of constraints. A heuristic algorithm, Ant Colony Optimization (ACO), was modified as Multi-ACO to be used to find the optimal scheduling and routing of maintenance fleet. The numerical studies showed that the proposed methodology was effective and robust enough to find the optimal solution even if the number of offshore wind turbine increases. The suggested approaches are helpful to avoid a time-consuming process of manually planning the scheduling and routing with a presumably suboptimal outcome.展开更多
Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs. It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and seri...Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs. It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections, as well as limitations of S/N ratio and seismic data resolution. Based on the Laohekou 3D data in Shengli Oilfield, we analyze the general characteristics of fluvial reservoirs in this area, from which we find that they are characterized by strong amplitudes on seismic profiles, high continuity on time slices, and low frequency in the frequency domain. In addition, a cluster of strong string-bead- like reflections was found after color processing and detailed interpretation. To understand this observation, we conduct forward modeling to explain the mechanism. This provides a new way to identify ancient channels in similar areas. By using the multi-attribute fusion and RGB display techniques, channel incision is more obvious and the characteristics of the channel structures are manifested much better. Finally, we introduce and apply multi-wavelet detection technology to identify weaker fluvial reservoir signals.展开更多
基金the National "863" Project under contract number 306--1041the National 7th Five-Year-Plan Project under contract number 75-68-5-3 the National Natural Science Foundation of China under contract number B6874002
文摘In the so called “Group Problem” (we would like to term it “Group-Consulting Type Cooperation”), ESs of the same cooperating group may have different views towards the same problem, and the differences may sometimes be very great. For the circumstance of those ESs with relatively closer views, we present in this paper three methods of consistency treatment and a method for calcula- ting the maximal deviation of the confidence value about the cooperating group's common view based on the consistency degree of those different views. For the circumstance of those views being not very close to each other and also not very different from each other, we designed two synthesis functions for synthesizing multiple views. These two circumstances are formally defined in this paper. A comparison be- tween these two functions and the combining function in is also demonstrated. In the last section of this paper, we present a discussion about some further research topics of conflict-resolution in the group problem.
文摘Reducing the operation and maintenance (O & M) cost is one of the potential actions that could reduce the cost of energy produced by offshore wind farms. This article attempts to reduce O & M cost by improving the utilization of the maintenance resources, specifically the efficient scheduling and routing of the maintenance fleet. Scheduling and routing of maintenance fleet is a non-linear optimization problem with high complexity and a number of constraints. A heuristic algorithm, Ant Colony Optimization (ACO), was modified as Multi-ACO to be used to find the optimal scheduling and routing of maintenance fleet. The numerical studies showed that the proposed methodology was effective and robust enough to find the optimal solution even if the number of offshore wind turbine increases. The suggested approaches are helpful to avoid a time-consuming process of manually planning the scheduling and routing with a presumably suboptimal outcome.
基金sponsored by The Science and Technology Research Project,Shengli Oilfield (Grant No. YKW1002)
文摘Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs. It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections, as well as limitations of S/N ratio and seismic data resolution. Based on the Laohekou 3D data in Shengli Oilfield, we analyze the general characteristics of fluvial reservoirs in this area, from which we find that they are characterized by strong amplitudes on seismic profiles, high continuity on time slices, and low frequency in the frequency domain. In addition, a cluster of strong string-bead- like reflections was found after color processing and detailed interpretation. To understand this observation, we conduct forward modeling to explain the mechanism. This provides a new way to identify ancient channels in similar areas. By using the multi-attribute fusion and RGB display techniques, channel incision is more obvious and the characteristics of the channel structures are manifested much better. Finally, we introduce and apply multi-wavelet detection technology to identify weaker fluvial reservoir signals.
