How to Diagnose Drilling Induced Fractures in Wells Drilled with Oil-Based Muds with Real-Time Resistivity and Pressure Measurements

Author:

Bratton T.R.1,Rezmer-Cooper I.M.1,Desroches J.1,Gille Y-E.1,Li Q.1,McFayden M.2

Affiliation:

1. Schlumberger

2. Texaco

Abstract

Abstract Major problems are often encountered in relaxed basins when extended reach wells are drilled through depleted reservoirs. As wellbore inclination increases, the imbalance between vertical and horizontal stresses can cause formation breakouts leading to increased cuttings and increasing the potential for stuck pipe. Higher mud densities can stabilize the imbalance and facilitate cuttings transport, but increase the risk of differential sticking and lost circulation. Additionally, higher mud densities can create fractures that take mud while drilling and return mud during connections. This ‘ballooning’ or ‘weeping’ complicates the correct diagnosis and increases the risk of losing the well. Early identification of these competing mechanisms can be critical to successful drilling. Real-time resistivity-at-the-bit images are now possible to aid diagnosis, but are currently limited to water-based muds, and a limited range of conductive oil-based muds (OBMs). Nevertheless, conventional resistivity measurements can still be used in wells drilled with OBM. A case study is described of a highly deviated Gulf Coast well drilled with synthetic OBM that penetrated a severely depleted reservoir. Based on the data collected the original assumption that depleted sands were the only source of lost return zones was in error. The losses were found to be in the bounding shales as well. After losing two wellbores, the project was abandoned due to wellbore instabilities and limited reserves. Investigations into the lessons learnt highlight how multiple passes with both resistivity and annular pressure measurements could have been used to diagnose the location and mechanism of borehole failure, and hence suggest appropriate action. Indeed, the resistivity measurements were found to be responding to induced fractures hours before any changes in equivalent circulating density (ECD) or significant drilling observation. A methodology is given for diagnosing drilling induced fractures from the real-time measurements, so that remedial actions can be promptly taken. Success in future operations will come from including these new methods into the drilling plan. Introduction The use of resistivity images to distinguish between natural and drilling-induced fractures has been described by Rezmer-Cooper et al.1,2 While drilling, it is important to distinguish natural features from those induced by the drilling process so that the drilling program can be modified to minimize the impact of the induced fractures. A geological analysis of borehole images includes the search for open natural fractures. Wrongly identifying drilling-induced fractures as natural fractures results in an optimistic forecast, and could lead to incorrect remedial procedures being recommended for the drilling program. However, even though real-time images are now possible, and can now complement existing conventional real-time logging-while-drilling (LWD) measurements, their use is limited to water-base muds or conductive oil-base muds, which are still in their infancy, and have yet to gain wide acceptance.

Publisher

SPE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measurement, Prediction, and Diagnosis;Lost Circulation: A New Approach to An Old Challenge;2021

2. Lost Circulation Mechanisms;Lost Circulation: A New Approach to An Old Challenge;2021

3. Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors;Journal of Sensors;2020-09-22

4. Deep Illustration for Loss of Circulation While Drilling;Arabian Journal for Science and Engineering;2020-01-04

5. Predicting seismic-based risk of lost circulation using machine learning;Journal of Petroleum Science and Engineering;2019-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3