Development of a Reliability and Maintenance Database System for Offshore Well Equipment in Brazil: MINERVA, Phase 1

Author:

Destri Alice Claussen1,Bernardi Pavel Rodrigues1,Lopes Manoela Teixeira1,Machado Mario Marcondes1,Oliveira Helton Luiz Santana1

Affiliation:

1. Petrobras

Abstract

Abstract This report discusses some of the main challenges and opportunities in the development of a well completion equipment database system in Brazil. To improve the quality of reliability and risk assessments, a major oil field operator recruited a multidisciplinary team to design and implement a Reliability and Maintenance (RM) database system. The primary objective of the proposed solution is to prevent equipment failure and mitigate associated downtime in offshore operations. However, a significant challenge lies in the dispersion of relevant data across multiple sources, including websites, various data repositories, and diverse formats. To address this issue, the solution aims to collect and consolidate these dispersed data into a single, standardized database. The development process involved a comprehensive data science approach encompassing crucial steps such as data collection, cleansing, and standardization. The overarching goal was to strive for accuracy and data integrity. By establishing a centralized and structured database, the solution empowers decision-makers to access reliable and comprehensive data, ultimately improving the management decision process. As a result, a reliability database named MINERVA (MINEr of Reliability for Value Adding) was built with more than 15,000 well-years data (operating time). The main idea is to improve the quality of the risk and reliability assessments for, e.g., workover demand estimates, completion alternative evaluations, "what-if" analysis, and so on. Among the contributions from the efforts undertaken at MINERVA Phase 1, is the incorporation of knowledge for the industry that translates into savings in operating costs such as maximization of well reliability and availability, reduction of the carbon footprint of production operations by avoiding unnecessary interventions, reduction of workover duration and the need for spare parts and associated logistic costs.

Publisher

OTC

Reference28 articles.

1. A Mashup-Based Framework for Business Process Compliance Checking;Cabanillas;IEEE Transactions on Services Computing,2022

2. Gas and Oil Reliability Engineering: Modeling and Analysis;Calixto,2013

3. Inteligência Artificial: riscos, benefícios e uso responsável;Carvalho;Estudos Avançados,2001

4. Doing action research in your own organization;Coghlan,2019

5. DAMA-DMBOK: Data Management Body of Knowledge;DAMA (Data Management Association) International,2021

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