注采井间优势通道的多层次模糊识别方法

doi:10.12108/yxyqc.20180412

岩性油气藏 ›› 2018, Vol. 30 ›› Issue (4): 105–112.doi: 10.12108/yxyqc.20180412

注采井间优势通道的多层次模糊识别方法

黄斌¹, 许瑞¹, 傅程^1,2, 张威¹, 史振中¹

1. 东北石油大学石油工程学院, 黑龙江大庆 163318;
2. 中国石油大庆油田有限责任公司博士后科研工作站, 黑龙江大庆 163458

收稿日期:2018-02-10 修回日期:2018-04-03 出版日期:2018-07-21 发布日期:2018-07-21
第一作者:黄斌(1982-),男,博士,教授,主要从事剩余油分布规律及大孔道识别技术的科研与教学工作。地址:(163318)黑龙江省大庆市萨尔图区东北石油大学石油工程学院。Email:huangbin111@163.com
通信作者: 傅程(1981-),女,博士,副教授,主要从事油藏数值模拟及聚驱渗流规律的教学与科研工作。Email:sygcxytyb@163.com。
基金资助:
黑龙江省博士后基金项目“聚驱后油层大孔道识别与调堵技术研究”（编号：LBH-Z16002）资助

Multi-level fuzzy identification method for interwell thief zone

HUANG Bin¹, XU Rui¹, FU Cheng^1,2, ZHANG Wei¹, SHI Zhenzhong¹

1. College of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, Heilongjiang, China;
2. Post-Doctoral Scientific Research Station, PetroChina Daqing Oilfield Company, Daqing 163458, Heilongjiang, China

Received:2018-02-10 Revised:2018-04-03 Online:2018-07-21 Published:2018-07-21

摘要/Abstract

摘要： 为了正确识别并评价注采井间优势通道的发育情况，制定合适的调剖堵水措施，针对其识别过程的复杂性和模糊性，提出了基于层次分析法与模糊综合评价相结合的多层次模糊综合评价指标体系（AHP-FCE）。该评价指标体系包括3个评价对象子系统和25个评价指标，其中注采井间的连通性通过灰色关联度进行定量表征。将该模型应用于N油田S14层优势通道识别，建立了一级优势通道、次级优势通道、正常孔隙通道3种评价等级，利用熵权法确定各因素权重，选择半梯形隶属度函数计算隶属度矩阵，并根据最大隶属度原则对各注采方向进行了优势通道模糊综合评价。结果表明：共识别出一级优势通道16处、次级优势通道10处，高渗透层及注采关系不完善的井间优势通道发育明显；经过井间示踪剂法验证，识别准确率达87.5%。该方法合理准确，可为油田后期实施调剖堵水措施提供指导。

关键词: 侏罗系, 低频可控震源, 高密度, 宽方位, 宽频反演, 柴达木盆地

Abstract: In order to correctly identify and evaluate the development of the thief zone, and take appropriate blocking measures, considering the complexity and fuzziness of the identification process of the thief zone, a multi-level fuzzy comprehensive evaluation index system(AHP-FCE)based on AHP and fuzzy comprehensive evaluation method was proposed. The evaluation index system consists of three evaluation object subsystems and 25 evaluation indicators, and the interwell connectivity is represented by grey relational degree. The model was applied to the identification of the thief zone in the S14 layer of N oilfield, and three evaluation levels of primary thief zone, secondary thief zone and normal pore channel were established. The weight of each factor was determined by entropy weight method, and the membership degree matrix was calculated by choosing semi trapezoid membership function. According to the principle of maximum membership degree, the thief zone of each interwell was evaluated. The results show that there are 16 primary thief zone and 10 secondary thief zone, and the development of the thief zone is more obvious between the interwells with high permeability and imperfect well pattern relations. The identification results were verified by the well tracer method, and the accuracy rate was 87.5%. The results show that this method is reasonable and accurate, and can provide a clear guidance for profile control or water shut off in the later stage of oilfield.

Key words: Jurassic, low frequency vibroseis, high density, wide azimuth, broadband inversion, Qaidam Basin

中图分类号:

TE122

黄斌, 许瑞, 傅程, 张威, 史振中. 注采井间优势通道的多层次模糊识别方法[J]. 岩性油气藏, 2018, 30(4): 105–112.

HUANG Bin, XU Rui, FU Cheng, ZHANG Wei, SHI Zhenzhong. Multi-level fuzzy identification method for interwell thief zone[J]. Lithologic Reservoirs, 2018, 30(4): 105–112.

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注采井间优势通道的多层次模糊识别方法

Multi-level fuzzy identification method for interwell thief zone

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