A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry

Temizel, Cenk; Canbaz, Celal Hakan; Aydın, Hakkı; Hosgor, Bahar F.; Kayhan, Deniz Yagmur; Moreno, Raul

doi:10.2118/205772-ms

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…In addition, the effective maintenance system also correlated with the cause-effect diagram relating to elements such as labour, equipment, method and machine [71] along with data, policies, techniques, considerations and instrumentation/tools [67,72]. The efficiency of the Maintenance Management System (MMS) may also be associated with the incorporation of AI techniques in the form of fuzzy games, neural networks and so forth in maintenance modeling and decision making [73,74] in addition to the involvement of high human expertise [75].…”

Section: Effectiveness In Oil and Gas Maintenance Managementmentioning

confidence: 99%

Preventive Maintenance: Some Operations and Technology Related Practices at a Malaysian Oil and Gas Firm

Md Safie Mohamed,

Halim Mad Lazim,

Wan Nadzri Osman

2023

ARASET

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The effectiveness of a maintenance management system can be measured by the way a function has achieved its intended objectives and generally evaluated based on the quality of the product or service provided, from the perspective of the user. The issues of high casualties in terms of personnel, millions of dollars in losses due to the unexpected shutdown of operations, environmental threats and the impact on the country's income should be addressed. Malaysian Oil and Gas Firm’s maintenance system efficiency practices, technology availability, the selection of suppliers, the influence of preventive maintenance on company performance and the rationale for choosing PM for downstream activities were considered in the interest of the nation. The primary purpose of this study is to use a qualitative methodology to examine PM procedures at a Malaysian oil and gas firm. The oil and gas sector is commonly linked with high-risk, cutting-edge technology projects that can have devastating economic and ecological effects if anything goes wrong. The study utilized the semi-structured interview with 10 identified oil and gas maintenance management personnels such as Managers, Supervisors and Staffs who are attached to Maintenance Department as the ‘gatekeepers’ as they are the one who are directly involved directly in maintenance management activities as well as preparing the reports and data with regards oil and gas companies maintenance management system used for the study. The result from the study stated that the personnel involved in maintenance activities appreciate the practices utilized however with the new methods introduced, the study also proposed, appropriate maintenance implementation as well as the involvement of several parties in aspects of planning and formulating maintenance policy up to the implementation stage in the oil and gas operators’ operation. The study can provide significant implications for theoretical, methodology and management involvement in terms of preventive maintenance contribution to organizational performance. This study analysed the issue raised in the implementation of preventative maintenance, specifically in Turnaround Maintenance in oil and gas company.

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Section: Effectiveness In Oil and Gas Maintenance Managementmentioning

confidence: 99%

Preventive Maintenance: Some Operations and Technology Related Practices at a Malaysian Oil and Gas Firm

Md Safie Mohamed,

Halim Mad Lazim,

Wan Nadzri Osman

2023

ARASET

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Success Cases and Lessons Learned After 20 Years of Oilfield Digitalization Efforts

Saputelli,

Duran,

Rivas

et al. 2024

SPE Annual Technical Conference and Exhibition

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The energy transition presents a critical juncture for the oil and gas industry. As we navigate toward a more sustainable future, digital oilfield (DOF) technologies play a pivotal role in optimizing operations, reducing environmental impact, and ensuring energy security. This paper aims to explore best practices and lessons learned from two decades of digital oilfield (DOF) implementations. The scope includes analyzing successful case studies, challenges faced, and practical guidelines for short-term DOF adoption in the context of the energy transition. Our approach involves a comprehensive literature review, examining industry reports, academic studies, and real-world experiences. We will synthesize insights from DOF projects, emphasizing data integration, change management, and interdisciplinary collaboration. The process includes distilling actionable recommendations for future implementation. Through our review, we anticipate uncovering key success factors and pitfalls in DOF initiatives. We will present practical observations on data governance, cybersecurity, and strategic alignment. Additionally, we aim to draw conclusions regarding the adaptability of existing DOF practices to the evolving energy landscape. Value creation from digital oilfield applications exceeded all our previous expectations. Over the past 20 years, DOF initiatives have evolved significantly. Notable achievements include the improved decision-making through streamlined processes and automated workflows; Real-time monitoring of equipment health, production, and safety; Holistic views of reservoirs, wells, and facilities for optimized field development; Efforts to standardize data formats and enhance interoperability; Leveraging cloud platforms and big data analytics for scalability and efficiency and Connecting sensors and devices for enhanced insights. We address the remaining challenges for full fledge adoption including prioritizing change management, training, and cross-functional collaboration, while fostering a learning culture to adapt to evolving technologies and industry dynamics. This paper contributes novel insights by bridging the gap between DOF and the energy transition. It provides actionable guidance for oil and gas professionals, enhancing their ability to navigate the digital frontier while addressing sustainability goals. By synthesizing existing knowledge, we aim to propel the petroleum industry toward a more efficient and resilient future.

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Digital Integration Scope in Fracturing: Leveraging Domain Knowledge for Intelligent Advisors—Part I

Khan

2024

Day 2 Tue, February 13, 2024

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Fracturing treatments in reservoirs with high tectonic effects or soft rock can lead to multiple challenges during fracturing treatment placement. Challenges like low injectivity and increasing pressure require expertise at each step. The decision-making process can be time consuming, which impacts operational efficiency. On the other hand, making a suboptimal decision affects the well performance. This study investigates how digital frameworks and infrastructure can enable imbibition of domain knowledge for efficient decision making. The scenario management can enhance operational efficiency by enabling faster and efficient decision making. Precision and consistency in flush volume can also be achieved, and the amount of proppant placed can be optimized, thereby avoiding premature termination and screenouts. A near-wellbore screenout contingency utilizing the surface well testing manifolds can help avoid CT cleanout in certain cases. Stimulation efficiency can be significantly increased by lowering the number of stages skipped due to low injectivity. Seven scenarios were considered in a wide spectrum of treatments and completion types. Detailed contingency workflows were developed in different rock types for (1) design considerations for flush volume, (2) increasing pressure during the fracturing treatment, (3) overflush criteria in case of premature treatment termination, (4) screenout, (5) low injectivity, (6) reperforating, and (7) tubing-annulus communication. During the workflow development, the reservoir quality index, degree of rock consolidation, rock strength, and completion rathole were important factors considered. A state machine automaton approach was utilized here to treat each action and condition in the flowchart as a state which advances based on rules and conditions. The solution was realized in two modes, interrogator, and simulator. The interrogator mode can be used by the user in a static case in pre-treatment or post-treatment scenarios. The simulator mode is built to integrate with the time series data stream and provide recommendations based on the data received, hence acting as an intelligent advisor on the wellsite. Comprehensive validations of the solution package have been conducted with synthetic and real data sets to show the experience of using the advisor. The solution has potential to enhance operational efficiency and reduce cost in multiple ways.

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A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry

Cited by 5 publications

References 37 publications

Preventive Maintenance: Some Operations and Technology Related Practices at a Malaysian Oil and Gas Firm

Preventive Maintenance: Some Operations and Technology Related Practices at a Malaysian Oil and Gas Firm

Success Cases and Lessons Learned After 20 Years of Oilfield Digitalization Efforts

Digital Integration Scope in Fracturing: Leveraging Domain Knowledge for Intelligent Advisors—Part I

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