The Intervention Opportunity, Why the Industry does not do More and How New Collaborative Workflows with Aligned Outcomes can Change this

Author:

Billingham Matthew Edward1,Proud Fraser James2,Ramondenc Pierre1

Affiliation:

1. SLB

2. North Sea Transition Authority

Abstract

AbstractThis analysis challenges the typical way interventions have been planned and executed, both from an operational and commercial basis, and examines where there is room for significant improvement in the industry. Perhaps more importantly, it examines the case for performing interventions and tries to explain the headwinds in what is an opportunity for both financial and net zero goal reasons. Benchmarked data has already shown that opportunity absolutely exists to do more, and the authors discuss why the intervention opportunity is underserved. By appreciating the issues operators face when justifying and designing intervention activity, the challenges can thus be addressed by proper alignment to the best outcome.Intervention global expenditure is a small percentage of the total exploration and production spend while there is a strong value case for such operations. This study examines why this is so and then looks at how to address those issues. There is a huge array of well integrity and reservoir performance challenges that can bottleneck production and the industry has delivered many innovative solutions to address these issues. Reduced capital expenditure spend over the last years and the pressure to maintain production sustainably should create a perfect climate for intervention. However, an asset mindset that is often risk averse to entering a producing well, as well as complex workflows, will too often detract from the opportunity to intervene. New workflows—including digital—are discussed to demonstrate how identification of candidate wells and intervention techniques can be simplified, and how the success rate of the operations, as well as incremental production gains, can be determined more reliably to enable more robust outcomes. However, current contracting techniques and conventional key performance indicators can also cause further misalignment as to the true goal of interventions being to increase production sustainably. Those issues and how they have been resolved are addressed herein.New workflows and commercial models have been used to facilitate the quicker identification of intervention opportunities, enabling collaborative planning and optimal solution identification, combined with feedback mechanisms to ensure continuous close collaboration between technical experts enabled by digital tools can disrupt the conventional intervention model. Case examples will be provided to support the arguments made and demonstrate a new way of performing interventions.New digital workflows combined with strong collaborative, technical domain knowledge and a wide array of possible intervention solutions can change current typical intervention models. With these changes further improvements can then be made to the conventional business models used to maximize the intervention opportunity and the sustainability opportunities it brings with regard to getting the most out of existing infrastructure.

Publisher

SPE

Reference21 articles.

1. Brankovic, M., Murchie, S., Magnussen, O., 2021. Advanced Intervention Technology Platform Provides Increased Capability Enabling Efficient High-Volume Wellbore Cleanout Solutions on Electric Line, Paper presented at the SPE/ICoTA Well Intervention Conference and Exhibition, Virtual, March 2021. SPE-204449-MS. https://doi.org/10.2118/204449-MS

2. Hässig Fonseca, S., Ramondenc, P., and Molero, N. 2023. Downhole Target Milling Characterization Coupled with Cumulative Sum Event Detection Algorithm Accelerates Automation of Coiled Tubing Operations. Paper presented at the SPE/ICoTA Well Intervention Conference and Exhibition, 22–23 March. SPE-212914-MS. https://doi.org/10.2118/212914-MS

3. Heaney, F., Mayorov, M., and Savage, J. 2021. Digital Slickline: Case Studies Highlighting Impact of Real-Time Slickline and Efficiency Improvements Compared to Traditional Slickline & E-Line Interventions. Paper presented at the SPE/ICoTA Well Intervention Conference and Exhibition, Virtual, March 2021. SPE-204447-MS. https://doi.org/10.2118/204447-MS

4. Murchie, S., Billingham, M., Evans, S., 2012. Risk Reduction and Efficiency Gains in Well Intervention Operations Through the Application of Real-Time Digital Slickline Services. Paper presented at the SPE/ICoTA Coiled Tubing & Well Intervention Conference and Exhibition, March 27–28. SPE-154439-MS. https://doi.org/10.2118/154439-MS

5. Shekhawat, D. S., Devgun, V., Bhattet, B., 2022. Well Intervention Opportunity Management Using Artificial Intelligence and Machine Learning. Paper presented at the ADIPEC, October 31–November 3, SPE-211824-MS, https://doi.org/10.2118/211824-MS

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