石油工程

井震信息融合指导钻井技术

  • 路保平 ,
  • 袁多 ,
  • 吴超 ,
  • 侯绪田
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  • 中国石化石油工程技术研究院,北京 100101
路保平(1962-),男,河北临城人,博士,中国石化石油工程技术研究院教授级高级工程师,主要从事优化钻井及复杂地层钻完井方面的研究工作。地址:北京市朝阳区北辰东路8号北辰时代大厦10层,中国石化石油工程技术研究院,邮政编码:100101。E-mail: lubp.sripe@sinopec.com

收稿日期: 2020-02-09

  修回日期: 2020-09-21

  网络出版日期: 2020-11-27

基金资助

中国石化股份有限公司科研攻关项目“地球物理指导钻井技术研究”(P17030-4)

A drilling technology guided by well-seismic information integration

  • LU Baoping ,
  • YUAN Duo ,
  • WU Chao ,
  • HOU Xutian
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  • Sinopec Research Institute of Petroleum Engineering, Beijing 100101, China

Received date: 2020-02-09

  Revised date: 2020-09-21

  Online published: 2020-11-27

摘要

针对地震速度模型建立过程中存在多解性影响钻井地质与力学模型预测精度问题,构建了由已钻井段地震速度更新、待钻地层地震速度预测、待钻地层地质特征预测与钻井地质环境因素描述3项技术组成的井震信息融合指导钻井技术,利用获取的已钻地层的真实信息(速度、层位与对应深度)与井周一定范围内的叠前地震资料,快速完成速度模型修正及偏移成像,对钻头前待钻地层的地质特征与钻井地质环境因素进行实时修正描述与预测。现场应用证实,该技术实现了钻头前未钻开层段地层特征与钻井地质环境因素的实时描述、预测,及时预报钻头前可能出现的复杂问题,同时缩短资料的处理周期,大幅提高了时效性与预测精度,可为钻井方案的优化、施工措施的调整提供科学依据,并能有效指导现场钻井施工。图10参29

本文引用格式

路保平 , 袁多 , 吴超 , 侯绪田 . 井震信息融合指导钻井技术[J]. 石油勘探与开发, 2020 , 47(6) : 1227 -1234 . DOI: 10.11698/PED.2020.06.16

Abstract

The predictions by drilling-related mechanical and geological models are inaccurate due to non-unique solution of seismic velocity model. To address this problem, a new drilling technology guided by well-seismic information integration is proposed which consists of seismic velocity update of drilled formations, seismic velocity prediction of the formation ahead of drilling bit, prediction of geological feature and drilling geological environmental factor ahead of bit. In this technology, real information (velocity, layer and depth) behind the drilling bit and local pre-stack seismic data around the well being drilled are used to correct the primitive seismic velocity field for a re-migration imaging of seismic data and update geological features and drilling geological environmental factors ahead of the drilling bit. Field application shows that this technology can describe and predict the geological features, drilling geological environmental factors and complex drilling problems ahead of the bit timely, reduce the time needed for data processing, greatly improving the prediction efficiency and accuracy. These new updated results are able to provide scientific basis for optimizing drilling plan, adjusting drilling technology and guiding drilling effectively.

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