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海相碳酸盐岩储层地震预测技术进展 及应用实效

作    者:常少英1,2, 李 昌1,2, 陈娅娜1,2, 熊 冉1,2, 谷明峰1,2, 邵冠铭1,2, 朱 茂1,2, 丁振纯1,2, 张 豪1,2, 王小芳1,2
单    位:1 中国石油杭州地质研究院;2 中国石油集团碳酸盐岩储层重点实验室
基金项目:本文受国家科技重大专项“大型油气田及煤层气开发”下属课题等资助
摘    要:
针对碳酸盐岩储层非均质性强、平面分布复杂的特点,基于碳酸盐岩储层分布主要受大型不整合面、层间岩溶面、断裂系统、礁滩相带和膏质白云岩相带等地质要素控制的认识,通过储层测井识别和评价图版的标定,开展了地质-测井-地震一体化的碳酸盐岩储层地震预测技术攻关,形成了以储层地质模型为约束、测井储层识别和评价图版标定为基础,以台地类型/岩相、层序界面、岩溶储层、断裂系统、礁滩体、白云岩体识别为核心的6项储层地震预测技术。这些技术在塔北轮古西奥陶系潜山岩溶储层、哈拉哈塘油田奥陶系潜山内幕断溶体储层,四川盆地震旦系—寒武系礁滩储层、中二叠统栖霞组晶粒白云岩储层,鄂尔多斯盆地奥陶系马家沟组上组合白云岩风化壳储层的预测中取得了良好的应用实效,储层预测吻合率提高了20%以上。
关键词:碳酸盐岩; 储层地质模型; 储层测井识别; 地震预测技术

Progress and application of seismic prediction technology for marine carbonate reservoir

Author's Name: CHANG Shaoying,LI Chang,CHEN Ya’na,XIONG Ran,GU Mingfeng,SHAO Guanming,ZHU Mao,DING Zhenchun,ZHANG Hao,WANG Xiaofang
Institution: PetroChina Hangzhou Research Institute of Geology
Abstract:
In view of the characteristics of carbonate reservoir with strong heterogeneity and complex plane distribution, based on the recognition that the distribution of carbonate reservoir is mainly controlled by large-scale unconformity surface, interlayer karst surface, fault system, reef-shoal facies belt and gypsum dolomite facies belt and other geological elements, the carbonate reservoir prediction technologies are developed with the integration of geology, logging and seismic on the basis of reservoir geological model and the calibration of reservoir logging identification and evaluation chart, with the identification of platform type/lithofacies, sequence boundary, karst reservoir, fault system, reef-shoal body and dolomite body as the core. These technologies have been applied to the prediction of the karst reservoir of Ordovician buried hill in west Lungu, inner fault-karst reservoir of Ordovician buried hill in Halahatang oilfield of Tarim Basin, the reef-shoal reservoir of Sinian-Cambrian, the crystalline dolomite reservoir of the Middle Permian Qixia Formation in Sichuan Basin, and dolomite weathering crust reservoir of the upper assemblage of Ordovician Majiagou Formation in Ordos Basin,and the coincidence rate of reservoir prediction increase by more than 20%.
Keywords: carbonate; reservoir geological model; reservoir logging identification; seismic prediction technology
投稿时间:2020-09-18  
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