Drilling Analysis Using Big Data has been Misused and Abused

Author:

Maidla Eric1,Maidla William1,Rigg John1,Crumrine Michael1,Wolf-Zoellner Philipp1

Affiliation:

1. ProNova - TDE Petroleum Data Solutions, Inc.

Abstract

Abstract The authors have been contacted by many people in the industry lately that are incorrectly utilizing big data to produce correlations that attempt to identify operational "sweet spots". This paper will show examples and address the need to add several steps to big data before any meaningful correlation results can be obtained, mainly understanding (and this is not a comprehensive list): The sensors involved and their limitations;The errors in the placement of these sensors (e.g. hook load sensor on the deadline);The frequency of the data and how this impacts the analysis (some companies provide 10-second data);The quality of the data itself;The appropriate filtering of data to ensure apples-to-apples comparisons;The rig state must be knownUnderstanding of the physics involved.

Publisher

SPE

Cited by 4 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. Application of Artificial Intelligence in the Oil and Gas Industry;Synthesis Lectures on Engineering, Science, and Technology;2024

2. Data Preprocessing Technology in Pipeline Health Monitoring;Pipeline Inspection and Health Monitoring Technology;2023

3. Petrochemical industry digital transformation from the perspective of big data : A survey;2022 International Conference on Frontiers of Communications, Information System and Data Science (CISDS);2022-11

4. Transforming petroleum downstream sector through big data: a holistic review;Journal of Petroleum Exploration and Production Technology;2020-04-27

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