石油科技论坛 ›› 2022, Vol. 41 ›› Issue (2): 92-103.DOI: 10.3969/j.issn.1002-302x.2022.02.012

• 青年论坛专刊 • 上一篇    下一篇

伊拉克A油田白垩系Khasib组生物碎屑灰岩油藏水平井精细描述及三维地质建模研究

邓亚1 黄婷婷2 许家铖1 陈明江2 张文旗1 王峻岭3 田中元1 刘达望1 王宇宁1   

  1. 1.中国石油勘探开发研究院;2.中国石油集团川庆钻探工程有限公司地质勘探开发研究院;3.中国石油集团长城钻探工程有限公司测试分公司
  • 出版日期:2022-05-13 发布日期:2022-05-13
  • 作者简介:邓亚,1990年生,博士在读,主要从事开发地质研究。
  • 基金资助:
    中国石油天然气股份有限公司“十四五”前瞻性基础性重大科技项目“特低渗碳酸盐岩油藏有效开发关键技术研究”(编号:2021DJ3202)。

Fine Reservoir Description and 3D Geological Modeling Technology for Horizontal Wells for Bioclastic Limestone Reservoirs of Khasib Formation of Cretaceous, Iraq

Deng Ya1,Huang Tingting2,Xu Jiacheng1,Chen Mingjiang2,Zhang Wenqi1,Wang Junling3,Tian Zhongyuan1,Liu Dawang1,Wang Yuning1   

  1. 1.PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China; 2. Research Institute of Geological Exploration and Development, CNPC Chuanqing Drilling Engineering Co. Ltd., Chengdu 610059, China; 3. Well Logging and Testing Company, CNPC Great Wall Drilling Engineering Co. Ltd., Panjin 124099, China
  • Online:2022-05-13 Published:2022-05-13

摘要: 为精细表征碳酸盐岩储层非均质性及准确预测储层物性参数,以伊拉克地区孔隙型生物碎屑灰岩油藏为对象,地震、测井、地质、油藏、钻采等多专业资料为基础,静态和动态资料相结合,形成了一套基于水平井的三维地质建模方法。综合分析岩心、测井响应特征,建立了水平井水平段分别位于小层内及小层间穿行时的测井响应模式。通过旋回厚度方法,在水平井水平段上确定一系列层面节点,采用“地震层面约束+趋势线控制+虚拟井局部优化”方法,将直井和水平井充分耦合,建立精细三维构造模型。利用岩心、薄片、扫描电镜和测井等资料,建立目标油藏岩石类型模型。基于岩石类型模型,采用序贯高斯模拟,利用地震古地貌作为协同约束参数,建立不同岩石类型下的孔隙度和渗透率模型,并结合实钻井及生产动态进行模型验证。结果表明,岩心实测渗透率与预测值符合率高,模型预测的构造顶面深度、物性参数与实测结果吻合度高,符合精度要求,可有效指导油藏动态分析、数值模拟、剩余油预测及开发方案调整。

关键词: 伊拉克, 白垩系, Khasib组, 生物碎屑灰岩, 地层对比, 岩石类型, 水平井, 地质建模, 测井响应模式

Abstract: The porous bioclastic limestone reservoirs in Iraq was selected in this paper to accurately characterize the heterogeneous properties of carbonate rock reservoirs and predict the parameters of the reservoirs’ physical properties. The paper combines the static and dynamic data of the reservoirs, including the seismic, logging, geological, reservoir, drilling and production materials, to form a set of 3D geological modeling methods on the basis of horizontal wells. By analyzing the characteristics of cores and logging response, the logging response model was established for both intralayers and interlayers of a horizontal well. Based on the thickness-comparing method, a series of surface nodes were determined on the horizontal sections of the horizontal wells. The “seismic surface constraint+ trend line control + partial optimization of virtual well” method was adopted to fully couple vertical wells and horizontal wells, thus establishing the fine 3D structural model. The cores, slices, scanning electron microscope and logging data were used to establish the rock-type model of the target reservoir. The sequential Gaussian simulation method was used on the basis of the rock-type model. The seismic paleo-geomorphology was used as collaborative constraints to build the models of porosity and permeability for the different types of rock. The model was brought under verification on the basis of the actual drilling and dynamic production state. The results indicated that the actually measured permeability of the rock is highly in line with the predicted value. The depth of the structural top and parameters of physical property predicted by the model were highly in agreement with the actually-measured results, meeting the requirements for accuracy, the model can effectively help dynamic analysis of oil reservoirs, numerical simulation, prediction of remaining oil and adjustment of the development plan.

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