圈闭评价
- 网络Trap evaluation;ReserveEasy
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BP人工神经网络油气圈闭评价
BP neural network and its application to the oil gas trap
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TEES(圈闭评价专家系统)软件,动用了人工智能专家系统技术中逻辑推理和基于知识的推理技术模拟实现了圈闭综合评价工作。
TEES ( trap evaluation expert system ) software uses technologies of logical inference and knowledge-based one the artificial intelligence expert system technology to realize the comprehensive trap evaluation .
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针对圈闭评价中构造形态的可信度这一问题,笔者选用有限元地震波模拟正演技术,对下扬子区的HQ、DY、BP等典型构造进行模型正演计算。
Aimed at solving the problem of the creditability of structure shape in trap evaluation , the authors have advanced the forward modeling for calculating such typical structure models as HQ , DY and BP in Lower Yangtze area by using the finite-element forward modeling technique of seismic wave .
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通过成藏组合分析,在Jabung区块西部发现新含油气层系,增加了新的目的层系和勘探潜力。(3)以油气系统为基础的区带及圈闭评价理论;
Petroleum play analysis made new hydrocarbon-bearing formation discovered in the west part of the Jabung Block . play assessment theory based on petroleum system ;
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圈闭评价法在吐鲁番坳陷油气勘探中的应用
Application of trap assessment to hydrocarbon prospecting in Turpan Depression
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模糊数学在渝东地区石炭系圈闭评价中的应用
Application of fuzzy mathematics in evaluating the Carboniferous traps in East Chongqing
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基于效用理论的圈闭评价方法研究
On the trap evaluation method based on Utility Theory
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冷124-14-30井区储层预测与圈闭评价
Reservoir prediction and trap evaluation for Leng 124-14-30 well area in Liaohe oil province
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进行圈闭评价并优选有利的勘探目标。
Traps were evaluated to optimize exploration targets .
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灰聚类评价方法同样可用于储集层评价、圈闭评价等地质问题的定量研究。
It can also be used for quantitative evaluation of the reservoir and trap , etc.
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鄂西渝东区上组合圈闭评价优选
Assessment and Optimum Selection of Traps of the Upper Package in the Western Hubei-Eastern Chongqing Area
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基于兼容度和差异度的圈闭评价方案优化研究
On the Improvement Methods System of Trap Evaluation Schemes based on Compatibility Degree and Difference Degree
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圈闭评价工作是油气资源评价的一部分,圈闭评价的直接效应是钻探;
The evaluation of traps is a part of work in the evaluation of resources of petroleum and gas .
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再根据砂层分布规律和构造特征进行储集层的预测和油气圈闭评价。
Finally , we can predict the reservoir and evaluate the oil-gas trap in the light of the sandstone distribution and geological structure .
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精细断块构造描述、储层描述及断层封堵分析为断块圈闭评价提供依据;
Fine description of fault blocks , reservoir description , and analysis of fault blocking provide evidences for evaluation of fault block trap .
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在以上工作的基础上,进行了圈闭评价和井位部署,并在实际钻探中获得了重大突破。
Based on those , the traps are evaluated and the well sites are planned , and the important breakthrough has been obtained by drilling . 1 .
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查明探区的古水流、物源方向等对于储集层预测和圈闭评价有重大意义。
Proper understanding of paleocurrent and source direction in study area at stage of hydrocarbon prospecting is of great significance for the reservoir prediction and the trap evaluation .
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在应用地震剖面进行构造、沉积相、油源解释和圈闭评价时,应该正确理解解释地震剖面断层与地质断层之间的关系,否则会得出错误的结论。
Applying seismic sections to geologic structure interpretation , sedimentary facies interpretation , oil sources interpretation and hydrocarbon trap evaluation , geologists must know the relation between seismic fault interpretation and geologic fault interpretation , otherwise they will draw mistaken conclusions .
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灰色动态聚类空间氧化还原电位油气圈闭ART评价法
Grey ART dynamic clustering evaluation for oil and gas information in oxido-reducing potential
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BP人工神经网络在济阳拗陷圈闭地质评价中的应用
Application of BP artificial neural network to geologic appreciation of traps in Jiyang depression
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圈闭描述评价系统(TDES)的设计与实现
Design and Fulfilment of Trap Description & Evaluation System
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圈闭定量评价&三因素综合排队法
Trap quantitative assessment : method of three factor synthetic queuing
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圈闭地质评价是进行油气资源评价的核心工作。
Rap evaluation is the core of oil / gas resource evaluation .
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圈闭地质评价中模糊数学综合评判法的优势
The advantage of comprehensive evaluation method by blurred mathematics in
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油气圈闭地质评价方法及应用
Geological evaluation method of hydrocarbon traps and its appli-cation
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模糊评判方法在圈闭地质评价中的应用
The application of the fuzzy judgment method in the geological evaluation of trap
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灰色系统理论对局部构造圈闭的评价
Evaluation of local structural traps with grey system theory
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圈闭地质评价的人工神经网络算法
Artificial Neural Network Algorithm Of Geological Trap Appraisal
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圈闭描述评价中资源量参数分布规律的研究
A Study of Parameters of Trap Resources Calculation
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利用灰色关联分析法进行圈闭综合评价
Comprehensive evaluation of traps by grey relevant analysis