东海油气田储层地质建模方法研究

2006年 26卷 第2期
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Method study of reservoir modeling for oil and gas field in the East China Sea
唐义疆 马美媛 达江
Tang Yijiang Ma Meiyuan Da Jiang
中国石油化工股份有限公司上海海洋油气分公司研究院, 上海 200120; 中国地质大学, 北京 100083; 中国石油勘探开发研究院, 北京 100083
Institute of Shanghai Offshore Petroleum Company, SINOPEC, Shanghai 200120, China; China University of Geosciences, Beijing 100083, China; Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
以东海平湖油气田为例, 探讨了海上油气田储层地质建模的思路、方法和途径。针对东海海上油气田井少、陆相储层相变快的特点, 确立了综合应用地质、测井、地震、开发动态等数据, 建立沉积相概念模型, 以井数据为硬数据, 充分应用地震数据(地震属性和波阻抗), 采用随机建模方法和相控建模途径建立储层参数模型, 最后对模型进行模型检验和不确定性评价。研究表明, 海上油气田充分应用地震属性、地震反演参与储层地质建模, 可弥补井数据的不足, 提高建模过程中井间预测的精度。海上油气田井数据少, 地震数据多解性强, 需对模拟结果和模型储量进行不确定性评价, 以降低风险, 为开发管理决策提供客观参考依据。
This article, taking the Pinghu oil and gas field in the East China Sea for example, discussed the principle, method and approach of reservoir modeling. Because in the East China Sea there are fen well and the sedimentary facies for the nonmarine reservoir changed quickly, the method of synthetically adopting the data of geology, well logging, seism and exploitation was used to establish concept model of sedimentary fades. The methods of stochastic modeling and facies-controlled modeling were resorted to create reservoir parameter model with well information as hard data and seismic data (seismic attribute and wave impedance). Finally, the established models were inspected and evaluated. The study indicated that with the application of seismic data, the lack of well data in reservoir modeling for offshore oil and gas fields can be remedied to improve the prediction precision of well-to-well. The well number for offshore oil and gas field was small and the seismic interpretation can be various. Thereby, the uncertainty evaluation should be made for modeling results to lower risk and increase the accuracy of exploitation policy.
储层建模; 地震属性; 沉积相; 储层参数; 不确定性评价; 平湖油气田;
reservoir modeling; seismic attribute; sedimentary facies; reservoir parameter; uncertainty evaluation; Pinghu oil and gas field;