基于分布式光纤测温的致密油水平井产出剖面解释方法

罗红文; 张琴; 李海涛; 朱涵斌; 刘文强; 向雨行; 马寒松; 李颖

doi:10.3969/j.issn.1006-6535.2023.04.013

特种油气藏 >

2023 , Vol. 30 >Issue 4: 104 - 112

DOI: https://doi.org/10.3969/j.issn.1006-6535.2023.04.013

油藏工程

基于分布式光纤测温的致密油水平井产出剖面解释方法

罗红文 ,
张琴 ,
李海涛 ,
朱涵斌 ,
刘文强 ,
向雨行 ,
马寒松 ,
李颖

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1.西南石油大学,四川成都 610500;
2.西南石油大学油气藏地质及开发工程国家重点实验室,四川成都 610500;
3.中国石油测井有限公司,陕西西安 710000

罗红文(1990—),男,讲师,2014年毕业于重庆科技学院石油工程专业,2020年毕业于西南石油大学油气田开发工程专业,获博士学位,现主要从事油气藏温度动态模拟、水平井产出剖面评价及分布式光纤监测解释方面的研究工作。

收稿日期: 2022-05-05

修回日期: 2023-04-06

网络出版日期: 2023-09-18

基金资助

国家自然科学基金“提升CO₂地质封存泥岩盖层封堵能力的作用机制研究”(42272176);中国博士后科学基金资助项目“页岩气水平井多场耦合热变规律及产出剖面反演方法研究”(2021M702721);四川省自然科学基金“页岩气水平井多场耦合热变规律及产出剖面反演方法研究”(2022NSFSC0993)

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Tight Oil Horizontal Well Production Profile Interpretation Method Based on Distributed Temperature Sensing

Luo Hongwen ,
Zhang Qin ,
Li Haitao ,
Zhu Hanbin ,
Liu Wenqiang ,
Xiang Yuxing ,
Ma Hansong ,
Li Ying

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1. Southwest Petroleum University, Chengdu, Sichuan 610500, China;
2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
3. CNPC Logging Co., Ltd., Xi'an, Shaanxi 710000, China

Received date: 2022-05-05

Revised date: 2023-04-06

Online published: 2023-09-18

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摘要

针对致密油水平井产出剖面定量诊断技术难的问题,以致密油水平井温度剖面预测模型作为正演模型,并基于模拟退火(SA)算法建立了致密油水平井分布式光纤测温(DTS)数据反演模型,形成了一套基于DTS的致密油水平井产出剖面解释方法,实现对致密油水平井产出剖面和裂缝参数的定量反演解释。结果表明:致密油水平井温度剖面对各因素的敏感性程度由大到小依次为产液量、裂缝半长、渗透率、井筒综合传热系数、孔隙度、裂缝导流能力、储层岩石热导率,影响致密油水平井温度剖面的主控因素为裂缝半长和地层渗透率。采用建立的反演模型对1口油井3个不同生产阶段的实测DTS数据进行反演,产出剖面解释结果与商业软件解释结果平均符合率为87.39%,验证了致密油水平井产出剖面解释方法的可靠性。研究成果对致密油水平井产出剖面的定量解释具有重要指导意义。

关键词： DTS; 致密油; 产出剖面; 反演解释; 温度剖面; 井温预测

本文引用格式

罗红文 , 张琴 , 李海涛 , 朱涵斌 , 刘文强 , 向雨行 , 马寒松 , 李颖 . 基于分布式光纤测温的致密油水平井产出剖面解释方法[J]. 特种油气藏, 2023 , 30(4) : 104 -112 . DOI: 10.3969/j.issn.1006-6535.2023.04.013

Abstract

To address the problem of difficult quantitative diagnostic techniques for tight oil horizontal well production profiles, the tight oil horizontal well temperature profile predicting model is used as the forward model, and a tight oil horizontal well distributed temperature sensing (DTS) data inversion model is established based on the simulated annealing (SA) algorithm, forming a DTS-based tight oil horizontal well production profile interpretation method, to achieve the quantitative inversion interpretation of the tight oil horizontal well production profile and fracture parameters. The result shows that the tight oil horizontal well temperature profile is sensitive to the following factors in descending order: fluid production, fracture half-length, permeability, integrated heat transfer coefficient of wellbore, porosity, fracture conductivity, and thermal conductivity of reservoir rocks, and the main controlling factors affecting the temperature profile of tight oil horizontal wells are fracture half-length and formation permeability distribution. The inversion model was used to invert the measured DTS data from three different production stages of one field well, and the average compliance rate between the production profile interpretation results and the commercial software interpretation results was 87.39%, which verified the reliability of the production profile interpretation method for tight oil horizontal wells. The study results have important guidance for the quantitative interpretation of the tight oil horizontal well production profile.

Key words： DTS; tight oil; production profile; inversion interpretation; temperature profile; well temperature prediction

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