New Real-Time Casing Running Advisory System Reduces NPT

Mason, Colin; Igland, Jan Kare; Streeter, Edward; Andresen, Per Arild

doi:10.2118/166616-ms

Cited by 8 publications

References 12 publications

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Digital transformation: a review on artificial intelligence techniques in drilling and production applications

D'Almeida

Bergiante

Ferreira

et al. 2022

Int J Adv Manuf Technol

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The use of digital and artificial intelligence technologies has expanded and influenced business models and the opening of opportunities for the generation of value in several organizations, in a movement known as industry 4.0. The oil industry has been following the path of several other industrial sectors and has implemented digitalization to solve different challenges and problems. The present work, supported by extensive research carried out in the specialized literature, shows relevant applications of digital transformation to solve problems in drilling and production operations during the life cycle of an oil well. The main issues addressed in the research were stuck pipes and hydrate formation. The achievements show that control systems and the various sensors used during drilling and the useful life of an oil well generate data that creates opportunities for the use of computational and artificial intelligence techniques. New technologies associated with digital transformation include smart surveillance systems, real-time monitoring, and intelligent equipment. In a well oil environment, these novelties are associated with fault detection and prediction systems to avoid or reduce problems or accidents that may cause costs or, in extreme cases, lead to the loss of the well. The study also points out that the oil industries, research centers, and universities are increasingly working together to understand the challenges and overcome the problems associated with the implementation and greater use of digital transformation technologies.

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Digital transformation: a review on artificial intelligence techniques in drilling and production applications

D'Almeida

Bergiante

Ferreira

et al. 2022

Int J Adv Manuf Technol

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Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards

Regan¹,

Igland²,

Andresen³

2013

SPE/IADC Middle East Drilling Technology Conference &Amp; Exhibition

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Today, even relatively basic drilling operations generate substantial amounts of real-time data, both at surface and downhole, all paid for by the Operator. This data can stagnate as a commodity, archived in a database or a drawer. Or it can be transformed into an asset enabling optimized well delivery through immediate, informed, collaborative decision-making. This transformation from data object to value-adding asset is made by intelligent use of real-time data management that drives ergonomic data display -the right data to the right people at the right time -applied automated data analysis and monitoring by exception, and correlative and predictive techniques comparing real-time with planned, historical and 'what-if' data. Such sophisticated data management only becomes truly and consistently effective when governed by industry-accepted standards, provided in a vendor-neutral manner that makes the raw data source irrelevant. This paper describes the ongoing evolution of an independent real-time data management infrastructure, service and solution. This includes acquisition-to-application dataflow, all wholly within industry standards, powering a variety of data management and monitoring modules optimizing various well operations. Real world examples highlight how such solutions support the performance of wellbore construction teams to achieve their key goal: to deliver wells safely, quickly, accurately, consistently and cost-effectively. IntroductionDrilling for oil and gas is costly, dangerous and complex. Errors made during the wellbore construction can potentially damage a company's reputation. The stakes are already high, but inefficient well delivery can cause a significant financial impact. With the risks well understood, Operators are under pressure to improve their efficiency in well delivery and find ways to predict situations that could have a negative impact on HS&E or the bottom line.

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Well Advisor - Integrating Real-time Data With Predictive Tools, Processes and Expertise to Enable More Informed Operational Decisions

Israel¹,

Mason²,

Whiteley³

et al. 2015

SPE/IADC Drilling Conference and Exhibition

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An increasing proportion of oil and gas production comes from the technically-challenging, deep-water/offshore environment, where drilling and completions teams continue to focus on enhancing safety and operational integrity and where the costs of non-productive time during well construction can be quite significant. BP identified opportunities to address these three issues through extending its use of real-time data and launched the BP Well Advisor (BPWA) Project to develop and deploy this technology to aid in further enhancing drilling performance. This paper will share the lessons that the company has learned from this project and provide an introduction to the range of functionality within the technical solutions currently being developed and deployed. It will also discuss how the company and its project collaborators have worked together to deliver the well advisor as a solution package inclusive of the underlying technology, business transformation processes, solution deployment, training and support. This approach has been a key component of the project's success to date and has built a solid platform to support its planned future activities. The objective of the well adviosr project is to facilitate the management and exploitation of real-time data. The system being developed integrates this real-time data with other predictive tools and processes to support delivery of the right information, in the right place at the right time. This helps the operational teams to make timely and well-informed decisions as they work to deliver safe and reliable wells. The project's key areas of operational focus are enhancing operational safety, improving well construction efficiency and life of well reliability. The well advisor project has demonstrated success in helping the company to enhance all three areas of operational performance listed above, and efforts are ongoing to expand the system's technical capabilities and regional deployments globally. One highlight of the project to date has been its successful application to casing running where over 291 casing/liner strings in 4 major regions have now been run without a stuck pipe incident. This success alone is estimated to have saved over 250 days of non-productive time (NPT) based on historical data associated with stuck casing incidents prior to its introduction. Other functionality being deployed monitors cement placement, blow-out preventer (BOP) health, pressure tests and rigsite fluid management. This paper will conclude with a summary of operational performance benefits derived to date from the implementation of the well advisor and give a preview of new functionality being considered for potential future deployments.

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New Real-Time Casing Running Advisory System Reduces NPT

Cited by 8 publications

References 12 publications

Digital transformation: a review on artificial intelligence techniques in drilling and production applications

Digital transformation: a review on artificial intelligence techniques in drilling and production applications

Optimizing Well Delivery in Real-Time from Spud to Completion through Intelligent Use of Applied Data Management and Standards

Well Advisor - Integrating Real-time Data With Predictive Tools, Processes and Expertise to Enable More Informed Operational Decisions

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