Integrated Operation Performance and Optimization Analysis Based on Technical Limit and Invisible Lost Time

Author:

Márquez Freddy José1,Sandrea Ranses Guillermo2

Affiliation:

1. EPRA Consultores

2. Opex

Abstract

Abstract Technical Limit (TL) and invisible lost time (ILT) are concepts that have contributed to the success of several oil and gas projects around the world since late 90s, many of them documented and presented in international conferences. The TL represents the optimum time for a given operation, based on statistical analysis or operation team commitment. Defining TL could be challenging when unique activities are programmed or there is a lack of offset data, on these situations the TL estimated may be biased. The objective of this paper is to describe a methodology that allows to define a TL based on specific conditions of the well, to identify not only the ILT from operational performance, but also identify imprecisions on the daily operation reports (DOR), the program and well design. ILT is the difference between the productive time and TL, this value allows to estimate efficiency. Identified invisible lost time (IILT) is the ILT portion that can be measured with real time data and/or DOR. The other portion is defined as unidentified ILT (UILT). IILT and UILT were estimated to productive and non- productive time (NPT). Geological correlation was used to estimate ILT derived from drilling performance.

Publisher

OTC

Reference14 articles.

1. Bond, D.F., Scott, P.W., Page, P.E., and T.M.Windham. "Step Change Improvement and High Rate Learning are Delivered by Targeting Technical Limits on Sub-Sea Wells." Paper presented at theIADC/SPE Drilling Conference, New Orleans, Louisiana, March 1996. SPE-35077-MS. doi: https://doi.org/10.2118/35077-MS

2. Coley, Christopher "Building a Rig State Classifier Using Supervised Machine Learning to Support Invisible Lost Time Analysis." Paper presented at theSPE/IADC International Drilling Conference and Exhibition, The Hague, The Netherlands, March 2019. SPE/IADC-194136-MS. doi: https://doi.org/10.2118/194136-MS

3. Gallagher, K.T., and G.D.Jones. "Developing and Maintaining a High Performance Culture in a Well Engineering Environment - Making Technical Limit Work." Paper presented at theSPE/IADC Drilling Conference, Amsterdam, Netherlands, February 2005. SPE-92948-MS. doi: https://doi.org/10.2118/92948-MS

4. Iyoho, A.W., Millheim, K.K., Virginillo, B.K., Adeleye, A.R., and M.J.Crumrine. "Methodology and Benefits of a Drilling Analysis Paradigm." Paper presented at theIADC/SPE Drilling Conference, Dallas, Texas, March 2004. SPE-87121-MS. doi: https://doi.org/10.2118/87121-MS

5. Maidla, Eric, and WilliamMaidla. "Rigorous Drilling Nonproductive-Time Determination and Elimination of Invisible Lost Time: Theory and Case Histories." Paper presented at theSPE Latin American and Caribbean Petroleum Engineering Conference, Lima, Peru, December 2010. SPE-138804-MS. doi: https://doi.org/10.2118/138804-MS

Cited by 1 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