综合沉积正演与多点地质统计模拟碳酸盐岩台地——以巴西Jupiter油田为例

doi:10.7623/syxb201708007

石油学报 ›› 2017, Vol. 38 ›› Issue (8): 925-934.DOI: 10.7623/syxb201708007

综合沉积正演与多点地质统计模拟碳酸盐岩台地——以巴西Jupiter油田为例

张文彪¹, 段太忠¹, 刘彦锋¹, 徐睿¹, 杨志成², 张德民¹

1. 中国石油化工股份有限公司石油勘探开发研究院北京 100083;
2. 中海石油(中国)有限公司天津分公司天津 300452

收稿日期:2016-10-14 修回日期:2017-06-26 出版日期:2017-08-25 发布日期:2017-09-02
通讯作者: 段太忠,男,1961年8月生,1982年获江汉石油学院学士学位,1996年获挪威科技大学工程博士学位,国家"千人计划"专家、中国石油化工股份有限公司石油勘探开发研究院教授,主要从事沉积学及定量地质建模工作。Email:duantz.syky@sinopec.com
作者简介:张文彪,男,1984年4月生,2009年获中国石油大学(北京)学士学位,2012年获中国石油大学(北京)硕士学位,现为中国石油化工股份有限公司石油勘探开发研究院工程师,主要从事油田开发地质及三维地质建模等研究工作。Email:zwb.syky@sinopec.com
基金资助:
中国石油化工股份有限公司科技部项目（G5800-15-ZS-KJB016）和国家重大科技专项（2016ZX05033-003-002）资助。

Integrated sedimentary forward modeling and multipoint geostatistics in carbonate platform simulation:a case study of Jupiter oilfield in Brazil

Zhang Wenbiao¹, Duan Taizhong¹, Liu Yanfeng¹, Xu Rui¹, Yang Zhicheng², Zhang Demin¹

1. Sinopec Exploration & Production Research Institute, Beijing 100083, China;
2. Tianjin Branch, CNOOC China Limited, Tianjin 300452, China

Received:2016-10-14 Revised:2017-06-26 Online:2017-08-25 Published:2017-09-02

摘要/Abstract

摘要：

为有效提高碳酸盐岩沉积相（岩相）模拟的精度，以巴西Jupiter油田为例，在岩心、测井及地震资料综合分析的基础上，通过多条件约束建立该地区碳酸盐岩台地沉积正演模型，以此作为多点地质统计模拟的三维训练图像，并利用成熟的Snesim算法对实际油田数据进行模拟。研究结果表明：沉积正演模拟初始控制条件对碳酸盐岩台地沉积分布影响较大，主要包括水深、风向、波浪能量、碳酸盐岩产率等，其中水深（主要影响温度和光照）对碳酸盐岩产率影响最大；波浪能量大小控制不同类型碳酸盐岩分布特征，高能环境沉积物主要为生物礁及颗粒灰岩，低能环境沉积物主要为泥晶灰岩；碳酸盐岩沉积正演模型体现了高能生物礁与低能泥晶灰岩的渐变接触关系，符合碳酸盐岩生长规律，将其转化为三维训练图像，多点模拟结果既满足所有钻井认识又体现了训练图像反映的相结构关系。本研究总结了碳酸盐岩台地沉积正演模拟的分析方法，提出三维训练图像获取较新的思路，综合了沉积正演模拟与多点统计模拟的优势，并在实际油田应用中取得一定效果，对类似孔隙性碳酸盐岩油藏地质建模具有借鉴意义。

关键词: 沉积数值模拟, 多点地质统计学, 训练图像, 碳酸盐岩台地, 三维图像

Abstract:

To effectively improve the accuracy of carbonate sedimentary facies (lithofacies)simulation, based on integrated analysis of core data, logging data and seismic data of Jupiter oilfield in Brazil, multi-condition constraint is used to create the sedimentary forward model of regional carbonate platform as the 3D training image of multipoint geological statistical simulation. Meanwhile, the mature Snesim algorithm is applied to simulate actual oilfield data. Research results demonstrate that the sedimentary forward modeling of initial control conditions make great impacts on the sedimentary distribution of carbonate platform, mainly including water depth, wind direction, wave energy and carbonate production. Among them, water depth (mainly affecting temperature and light)has the most influence on carbonate production. The distribution characteristics of different carbonate types were controlled by wave energy magnitude. High-energy environmental sediments mainly include reefs and grain stones, while low-energy environmental sediments are dominated by micrite. The sedimentary forward model of carbonate also reveals the changing contact relationship between high-energy reefs and low-energy micrite, consistent with carbonate growth rules. Then, it is converted to 3D training image, and multipoint simulation results are not only coincident with drilling understanding but also reflect the facies structure relation reflected by training image. Through summarizing the sedimentary forward simulation analysis method of carbonate platform, a new approach of acquiring 3D training image is proposed in this study; as integrating the advantages of sedimentary forward modeling and multipoint statistical simulation, it has a good application in oilfield and provides a reference for the geological modeling of porous carbonate reservoir.

Key words: sediment numerical simulation, multipoint geostatistics, training images, carbonate platform, 3D diagram

中图分类号:

TE122

张文彪, 段太忠, 刘彦锋, 徐睿, 杨志成, 张德民. 综合沉积正演与多点地质统计模拟碳酸盐岩台地——以巴西Jupiter油田为例[J]. 石油学报, 2017, 38(8): 925-934.

Zhang Wenbiao, Duan Taizhong, Liu Yanfeng, Xu Rui, Yang Zhicheng, Zhang Demin. Integrated sedimentary forward modeling and multipoint geostatistics in carbonate platform simulation:a case study of Jupiter oilfield in Brazil[J]. Acta Petrolei Sinica, 2017, 38(8): 925-934.

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综合沉积正演与多点地质统计模拟碳酸盐岩台地——以巴西Jupiter油田为例

Integrated sedimentary forward modeling and multipoint geostatistics in carbonate platform simulation:a case study of Jupiter oilfield in Brazil

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