|本期目录/Table of Contents|

[1]冯 鑫 孟 鹏 郭敬民 李 博 赵澄圣 熊 聪.海上油田稀疏井网辫状河薄泥砾隔夹层预测方法[J].中国海上油气,2020,32(01):95-102.[doi:10.11935/j.issn.1673-1506.2020.01.011]
 FENG Xin MENG Peng GUO Jingmin LI Bo ZHAO Chengsheng XIONG Cong.Prediction method of thin mudstone-conglomerate interlayer in braided river with sparse well pattern in offshore oilfield[J].China Offshore Oil and Gas,2020,32(01):95-102.[doi:10.11935/j.issn.1673-1506.2020.01.011]
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海上油田稀疏井网辫状河薄泥砾隔夹层预测方法()

《中国海上油气》[ISSN:1673-1506/CN:11-5339/TE]

卷:
第32卷
期数:
2020年01期
页码:
95-102
栏目:
油气田开发
出版日期:
2020-01-15

文章信息/Info

Title:
Prediction method of thin mudstone-conglomerate interlayer in braided river with sparse well pattern in offshore oilfield
文章编号:
1673-1506(2020)01-0095-08
作者:
冯 鑫1 孟 鹏1 郭敬民1 李 博1 赵澄圣2 熊 聪2
(1. 中海石油(中国)有限公司天津分公司 天津 300459; 2. 武汉时代地智科技股份有限公司 湖北武汉 430000)
Author(s):
FENG Xin1 MENG Peng1 GUO Jingmin1 LI Bo1 ZHAO Chengsheng2 XIONG Cong2
(1. CNOOC China Limited, Tianjin Branch, Tianjin 300459, China; 2. Wuhan Times Geosmart Science & Technology Co., Ltd., Wuhan, Hubei 430000, China)
关键词:
海上油田 稀疏井网 辫状河 薄泥砾隔夹层
Keywords:
offshore oilfield sparse well pattern braided river thin mudstone-conglomerate interlayer
分类号:
TE32+1
DOI:
10.11935/j.issn.1673-1506.2020.01.011
文献标志码:
A
摘要:
针对海上油气田井网密度低、样本空间小、先验统计信息不确定性高等特点,提出了一种稀井网薄泥砾隔夹层预测方法,分预测前、中、后等3个阶段完成,即预测前综合多学科信息以丰富样本空间,预测中细化参数选取过程,预测后引入部分油藏动态数据并通过迭代反演优化预测成果。以渤海A油田NgⅢ油组为例,从岩石物理分析薄泥砾隔夹层的响应规律出发,通过地震正演总结出该油田薄泥砾隔夹层分布规律; 利用定量经验公式分析了砂体规模,优选了横向变程和砂泥比; 根据生产动态等信息优化了预测成果,得到了对渤海A油田NgIII油组生产动态有主要控制作用的薄泥砾隔夹层的空间展布和平面厚度。渤海A油田37口后验开发井动态拟合结果表明,历史拟合良好及以上的井数达到了86%,说明本文方法具有较好的适用性,可为类似薄泥砾隔夹层预测提供借鉴。
Abstract:
Aiming at the characteristics of sparse well pattern, small sample space and high uncertainty of prior statistical information in offshore oil and gas fields, a thin mudstone-conglomerate interlayer prediction method for sparse well patterns was proposed. The process can be divided into three stages: pre-prediction stage, middle-prediction stage and post-prediction stage, namely, synthesizing multi-disciplinary information before prediction to enrich the sample space, refining the parameter selection process during prediction, and introducing some reservoir dynamic data after prediction and optimizing the prediction results through iterative inversion. Taking the NgⅢ oil group of Bohai A oilfield as an example, based on the response law of the thin mudstone-conglomerate interlayer obtained through petrophysical analysis, the distribution laws of the thin mudstone-conglomerate interlayer in this oilfield were summarized by seismic forward modeling; based on the quantitative empirical formula, the size of the sand body was analyzed, and the lateral variation and sand-mud ratio were optimized; according to the production performance and other information, the prediction results were optimized, and the spatial distribution and plane thickness of thin mudstone-conglomerate interlayer that play key roles in controlling the production performance of NgIII oil group in Bohai A oilfield were obtained. The dynamic fitting results of 37 posterior development wells in Bohai A oilfield show that the number of wells with good or even perfect historical fitting reached 86%, indicating that the method in this paper has good applicability and can provide reference for the prediction of similar thin mudstone-conglomerate interlayers.

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备注/Memo

备注/Memo:
* “十三五”国家科技重大专项“渤海油田加密调整及提高采收率油藏工程技术示范(编号:2016ZX05058-001)”部分研究成果。 第一作者简介: 冯鑫,男,高级工程师,1997年毕业于大庆石油学院,主要从事油藏开发及精细油藏描述等工作。地址:天津市滨海新区海川路2121号渤海石油管理局(邮编:300459)。E-mail:fengxin@cnooc.com.cn。收稿日期:2019-03-29 改回日期:2019-05-27
更新日期/Last Update: 2020-01-15