Visual Analytics: Improving Wellbore Diagnostics with Integrated Video Caliper Datasets

Author:

Hamid Saad1,Abulhamayel Nahr1,Alduraihem Abdullah2,Alhindas Omar2,Roberts Glyn2,MacDonald Michael2,Tymons Tobben2

Affiliation:

1. Saudi Aramco

2. EV

Abstract

Objectives/Scope High quality downhole video footage provides highly accessible, easily understood datasets for users across a wide range of disciplines in the oil and gas industry. Image interpretation is often intuitive, providing immediate understanding of complex downhole situations. This information is used to identify and understand problems relating to restrictions, leaks, corrosion, tubular deposits, fish, the condition and functional status of valves and other engineered components, along with numerous other undesirable downhole conditions. Step changes in downhole video and image processing, along with the evolution of visual analytics has increased the scope and effectiveness of diagnostic services using this technology. Visual analytics is either the direct dimensioning of digital images or their integration with measurements from other sensors. This paper will demonstrate how the combination of video images with wellbore geometry measurements from a multi-finger caliper instrument provide a more comprehensive understanding of well challenges, while reducing operational time, risk and cost. Methods, Procedures, Process In connection with the operational experience, a four-stage workflow will be described detailing: Well fluid preparation, which is generally an underestimated requirement for obtaining high quality video footage. Acquisition of video images from both down and side viewing cameras, allowing overall wellbore conditions as well as specific features of interest to be identified and captured. Recording of multi-finger caliper data over relevant zones of the well providing a high-resolution array of accurate internal diameter measurements. Analysis and reporting of both sensors within an interactive reporting platform. Results, Observations, Conclusions The paper will show how caliper measurements combined with video images were able to confidently determine the exact status of the challenge at hand. Additionally, we demonstrate how the service was able to diagnose and uncover the downhole conditions, which would not have been correctly interpreted in any other form of well intervention. Each of these operational experiences provides an insight into the technical capability of the tool and interpretation platform to provide 3-D images as well as visual referencing across the depth of investigation. Lessons learned from these interventions and subsequent diagnostic analysis provided an opportunity to correctly identify the root causes behind the wellbore accessibility challenges and take appropriate corrective actions. Novel/Additive Information The paper will provide evidence that visual analytics and the integrated video caliper technology can be used to fully understand a variety of downhole conditions. It can further help diagnose root causes of various downhole challenges, which were not correctly identifiable with commercially available technologies previously. Critically, it provides production and well intervention engineers with the unambiguous data required to confidently plan effective remediation of wellbore related challenges.

Publisher

SPE

Cited by 2 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

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