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作 者:胡望水[1] 熊金红[1] 舒志恒[1] 王珊[2] 成群[1] 田亮 徐博[1]
机构地区:[1]长江大学油气资源与勘探技术教育部重点实验室,湖北荆州434023 [2]江苏油田地质科学研究院开发二室,江苏扬州225009 [3]中国石油总公司青海油田分公司采油一厂采油工艺研究所,青海西宁816400
出 处:《工程地球物理学报》2012年第1期108-113,共6页Chinese Journal of Engineering Geophysics
基 金:国家自然科学基金项目(编号:49773198)资助
摘 要:沉积微相是决定储层物性好坏的重要因素之一,并是油气分布主要控制因素,因此沉积微相模拟结果的准确性和可靠性研究在精细油藏描述中起着举足轻重的作用。为了对沉积微相不同的随机模拟方法的适应性及其优劣进行量化分析和模拟结果真实性研究,本文以低井控、低渗透的吉林油田高台子油藏为例,采用多点地质统计学算法与普遍使用的序贯指示模拟两种算法对沉积微相进行模拟。其对比结果表明:在辨状河三角洲沉积相带下,运用多点地质统计学方法在低井控条件下模拟结果明显优于序贯指示模拟结果且具有较强的预测性,对油田中后期开发具有较强的指导意义,特别是在井间预测中有较强的指导意义。Sedimentary microfacies is one of the important factors deciding the petrophysical property which is the main influencing factor of oil gas distribution ,so the research on the accuracy and the reliabili'ty of the modeling of sedimentary microfacies plays a very important role in the elaborate reservoir description. In order to study the adaptability of various stochastic simulation for sedimentary micro--facies and its advantage and disadvantage and reality of the modeling ,this paper takes Gaotaizi Oil Field as an example which is a low well control and low permeability reservoir, using the sequential indicator simulation and multiple--point geostatistics, comparing the modeling of the sedimentary microfacies dur- ing the process we use the single factor variation method and comparing the G25a in details. The result shows that multi--point statistics is better than the sequential indicator simulation in the low well control in the facies of Braid River Deltas, and the modeling result has strong prediction and is of significance in the predication of oil development.
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