鄯善油田精细油藏描述与开发系统优化研究
摘要
本文应用现代油藏描述技术和油藏数值模拟技术，结合油田开发系统优化思想系统深入地开展了鄯善低渗透油田油藏精细描述与开发系统优化研究。为了从根本上解决油田开发的问题，改善油田开发效果，扭转被动局面，文中针对鄯善油田开发存在问题，从油田储层精细描述入手，应用现代油藏数值模拟技术，开展油田注采系统优化研究，对油田开发各参数进行单因素、多因素敏感分析，寻找出影响油田开发的主要因素和矛盾，综合筛选和评价各项配套参数，进而有针对性地提出油田各区块开发综合调控方案。
概括起来主要有四个方面的研究成果：
①采用储层定量化研究的新技术——随机建模技术，建立鄯善油田三间房低渗透储层的宏观地质模型；并通过典型低渗透储层地质模型的建立，探索常用于中、高渗透储层地质建模的随机模拟方法对低渗透储层建模的适应性研究；借助于精细储层地质深入认识低渗透储层宏观的非均质特征。
②在储层精细描述的基础上，应用现代油藏数值模拟技术，进一步以分区、分块模拟和整体模拟相结合方式，全面细致地研究油田开发动态规律，了解地层剩余油分布规律，揭示控制剩余油分布的主要储层因素与开发条件。
③应用油藏静动态描述的地质认识和地层剩余油变化与分布规律认识，结合鄯善油田实际开发生产特点，全面评价和分析油田开发的主要特点；以大量的统计数据说明油田开发存在的主要问题；客观实际的提出鄯善油田开发的主要技术经济指标界限。
④采用油田开发系统优化的思想和方法，根据各区块开发存在的不同矛盾，采取“分类控制，分块治理”的油田开发调整的原则，分区块提出调整治理方案，确定单井措施，在定量预测的基础上，优化筛选分区开发调整方案。
This paper, using modern reservoir description technology and reservoir simulation technology, combining with optimum system principle of oil development, has studied fine reservoir description and development optimum system of Shan Shan low-permeable oil field completely. In order to resolve the questions of reservoir development entirely, improve the exploitation effect in this oil field, turn the bad phases, this paper has studied the optimum system of injection and development. In this paper has used modern reservoir numerical simulation technology , fine description of reservoir; analyzed the parameter sensitivity of the single or more factors in the process of the development; searched the major factors and important contradiction; filtrated and evaluated the matching parameters in all kinds phases; finally, brought forward the entirely adjust projects in every development area of the Shan Shan oil field.
General, there were four results in this paper:
Firstly, this paper has used the new technology--Stochastic Modeling technology in the quantitative study of formation, built the macroscopic geology model of San jian fang low-permeable reservoir in Shan shan oil field; searched the adaptation of Stochastic Modeling technology in the constructing of low-permeable geology model , which is often used to construct the reservoir model of middle-high permeable reservoir, through the geology model of typical low-permeable geology model; realized deeply the heterogeneous characteristics of low-permeable reservoir.
Secondly, based on the fine description of the reservoir, this thesis has researched the dynamic development rule. Every parts and whole oil field have been studied by modern reservoir simulation detailed and deeply. Through these studies, we have realized the distribution of residual oil and opened out the factors which control the residual oil distribution and development conditions.
Thirdly, based on the above studies, combining the characteristics of active development of Shan shan oil field, the thesis has entirely evaluated and analyzed the oil development
characteristics; used a lot of investigated evidences which show the primary questions in the process of oil development; gotten the major economic limits in the development in order to adapt the practice of Shan shan oil field.
Finally, according to the different conflicts of every development part areas, optimum system principle and method have been adopted in this thesis. The adjust principle of "control
' '
according to sorts, adjust by every part area" has been offered; and the adjust projects of every development areas have been supplied. At the same time, the measures have been confirmed for the single well. The optimized and filtrated projects by quantitative prediction have been provided finally for every part areas. .
概括起来主要有四个方面的研究成果：
①采用储层定量化研究的新技术——随机建模技术，建立鄯善油田三间房低渗透储层的宏观地质模型；并通过典型低渗透储层地质模型的建立，探索常用于中、高渗透储层地质建模的随机模拟方法对低渗透储层建模的适应性研究；借助于精细储层地质深入认识低渗透储层宏观的非均质特征。
②在储层精细描述的基础上，应用现代油藏数值模拟技术，进一步以分区、分块模拟和整体模拟相结合方式，全面细致地研究油田开发动态规律，了解地层剩余油分布规律，揭示控制剩余油分布的主要储层因素与开发条件。
③应用油藏静动态描述的地质认识和地层剩余油变化与分布规律认识，结合鄯善油田实际开发生产特点，全面评价和分析油田开发的主要特点；以大量的统计数据说明油田开发存在的主要问题；客观实际的提出鄯善油田开发的主要技术经济指标界限。
④采用油田开发系统优化的思想和方法，根据各区块开发存在的不同矛盾，采取“分类控制，分块治理”的油田开发调整的原则，分区块提出调整治理方案，确定单井措施，在定量预测的基础上，优化筛选分区开发调整方案。
This paper, using modern reservoir description technology and reservoir simulation technology, combining with optimum system principle of oil development, has studied fine reservoir description and development optimum system of Shan Shan low-permeable oil field completely. In order to resolve the questions of reservoir development entirely, improve the exploitation effect in this oil field, turn the bad phases, this paper has studied the optimum system of injection and development. In this paper has used modern reservoir numerical simulation technology , fine description of reservoir; analyzed the parameter sensitivity of the single or more factors in the process of the development; searched the major factors and important contradiction; filtrated and evaluated the matching parameters in all kinds phases; finally, brought forward the entirely adjust projects in every development area of the Shan Shan oil field.
General, there were four results in this paper:
Firstly, this paper has used the new technology--Stochastic Modeling technology in the quantitative study of formation, built the macroscopic geology model of San jian fang low-permeable reservoir in Shan shan oil field; searched the adaptation of Stochastic Modeling technology in the constructing of low-permeable geology model , which is often used to construct the reservoir model of middle-high permeable reservoir, through the geology model of typical low-permeable geology model; realized deeply the heterogeneous characteristics of low-permeable reservoir.
Secondly, based on the fine description of the reservoir, this thesis has researched the dynamic development rule. Every parts and whole oil field have been studied by modern reservoir simulation detailed and deeply. Through these studies, we have realized the distribution of residual oil and opened out the factors which control the residual oil distribution and development conditions.
Thirdly, based on the above studies, combining the characteristics of active development of Shan shan oil field, the thesis has entirely evaluated and analyzed the oil development
characteristics; used a lot of investigated evidences which show the primary questions in the process of oil development; gotten the major economic limits in the development in order to adapt the practice of Shan shan oil field.
Finally, according to the different conflicts of every development part areas, optimum system principle and method have been adopted in this thesis. The adjust principle of "control
' '
according to sorts, adjust by every part area" has been offered; and the adjust projects of every development areas have been supplied. At the same time, the measures have been confirmed for the single well. The optimized and filtrated projects by quantitative prediction have been provided finally for every part areas. .
引文
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[2] Abraharnsen, P., Random walk in field theories, Institute of Physics, Univ. of Oslo (Master thesis), 1988
[3] Alabert, F.G. and V. ModotStochastic Models of Reservoir Heterogeneity: Impact on Connectivity and Average Permeabilities, SPE, 24893, 1992
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[5] Andre G. Journel, et al., New Method for Reservoir Mapping, JPT, 1990, (2)
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[7] Brooker, P.I., A Geostatistical Primer (World Scientific, Singapore, 1991).
[8] Caers, J. et al., Stochastic Reservoir Simulation Using Neural Networks Trained on Outcrop Data, SPE 49026
[9] Chorn, L.G. et al., Resolving Reservoir Uncertainty to Create Value, SPE 49094
[10] Christakos, G., Stochastic simulation of spatially correlated geo-processes, Math. Geology, 1987, Vol.9, No.8, 807-831
[11] Clark, I., Practical Geostatistics (Applied Science Publishers, London, 1979).
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[13] Cullick, A. S., Deutsch, C.V., and Wen, X-H., Facies Proportion Maps Derived from Well Production DataIn Situ, Vol. 23, No. 3.
[14] Damsleth, C., Tjlsen, Omre, H. and Haldorsen, H., 1990, A two stage stochastic model applied to a North sea reservoir, SPE 20605
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[18] Davies, D., William's, B. and Vssel, R., 1993, Reservoir geometry and internal permeability distribution in fluvial, tight, gas sandstone's, Travis peak formation Texas. SPE Reservoir Engineering, 7-12, February
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[20] Deutsch, C.V. and T. T. Tran, FLUVSIM: A Program for Object-Based Stochastic
Modelling of FLuvial Depositional Systems Submitted to Computers & Geosciences, April 1998
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[24] Deutsch, C., Direct assessment of local accuracy and precision., the 5th International GeostatisticsCongress, WollonG', 1996, 22-17, September
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[27] Ebanks, W.F., Flow Unit Concept-Integrated Approach to Reservoir Description For Engineering Projects, Aapg, 75(10), 1987
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[31] Flint, S.S., The Geological Modeling of Hydrocarbon Reservoirs and Outcrop Analogues, Scientific Pulications, 1993
[32] Frykman, P. and Deutsch, C.V., Model-based Declustering for Deriving Representative Distributions Prior to Conditional Simulationspresented at the Second IMA Conference on Modelling Permeable Rocks, March 23-25, 1998, Churchhill College, Cambridge
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[34] Ghori, S.G. et al., The Effect of Four Geostatistical Methods on Reservoir Description and Flow Mechanism, SPE 24755
[35] Govaerts, P., Stochastic Simulation of Categorical Variables Using a Classification Algorithm and Simulated Annealing, Mathematical Geology 28(7) P909-921 1996
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[56] Kupfersberger, H., and Deutsch, C.V., Ranking Stochastic :Realizations for Improved
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[64] Petit, F.M. et al., Early Quantification of Hydrocarbon in Place Through Geostatistical Object Modeling and Connectivity Computations, SPE 28416
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