... ABSTRACT The Drilling Fluid Advisory System is a decision support tool that optimizes and recommends the amounts of additives that needs to be added to the drilling fluid to achieve desired properties in real time. This article presents an automated end-to-end pipeline that was used to prepare...

... physical behaviors. Additionally, transmissibility predictions from PINN-GCEM were consistent with CEM history-matched results, highlighting its reliability for reconstructing connectivity fields. These findings demonstrate the framework's potential for optimizing CO 2 injection strategies and production...

... Abstract The oil and gas industry is undergoing and experiencing a significant transformation via the integration of Artificial Intelligence (AI) technologies. AI models are pivotal in improving operational efficiency, enhancing safety measures, and optimizing costs in upstream, midstream...

... Abstract The optimization of injection-production methods plays a crucial role in enhancing the efficiency and economic benefits of oil reservoir development. Traditional adjustments of injection-production parameters and methods primarily rely on manual tuning, which is cumbersome, time...

... The development producer wells achieved better production performance than expected because of the optimal well placement and completion strategies. Conclusions Geosteering of highly deviated oil producer wells achieved the maximum oil recovery in the field with support of the Ultra Deep...

... and financial performance optimization. This novel framework establishes a scalable, digital-first approach to workforce development, ensuring long-term organizational efficiency, cost reductions, and enhanced well performance. The findings advocate for the widespread adoption of Continuous Development...

... Abstract The Gulf of Suez Petroleum Company (GUPCO), which has been overseeing mature offshore oil fields in Egypt since the late 1960s, seeks to harness advanced artificial intelligence (AI) technologies to optimize the management of its extensive field data. This initiative is centered...

... application substation recovery complex reservoir shale gas mudstone sichuan basin operator proportion optimization mudrock operation electricity machine learning drilling rig china technology conference generator Introduction Natural gas, as an important low-carbon and transitional...

... Abstract Accurate prediction of Three-Pressure data in geological formations can assist in determining drilling fluid design, wellbore stability assessment, and optimization of drilling parameters, thereby reducing the probability of drilling risks. Conventional methods for predicting triplet...

... optimization. Results, Observations, Conclusions This paper reproduced and digitalize entire tight gas production system through integrated production modeling (IPM), expanded the physics, algorithms and workflow how to pinpoint bottleneck issues of high backpressure in the complicated, dynamic...

... drilling bit selection. This approach, combined with rock mechanics parameters, facilitates the identification of optimal cluster locations. Key construction parameters like inter-stage spacing, perforation cluster number and hole count, measure displacement, and fluid volume were further refined through...

... operational efficiency is crucial for reducing overall emissions and combating climate change. Therefore, recognizing more efficient approaches and solutions with reduced carbon footprints is essential in creating future business continuity. This paper presents the application of machine learning optimization...

... than 200 strings in place, drilling and completing a new well in the area is a great challenge. Navigating through the complex well design, team has taken the challenge to complete the well with cheapest cost, in short, execution optimization is required while not compromising the well productivity...

... from the reservoir. This optimization has resulted in a time saving of 6 days which enabled the well under study to set a record as the fastest well delivered in this category. This concept has been adopted in consecutive wells and is emerging as a new standard for the specific type of well...

... Abstract In alignment with our commitment to decarbonization and sustainability, we prioritize energy optimization initiatives that continuously monitor and improve the energy efficiency of our assets. At Gas Oil Separation Plants, the primary assets identified as Significant Energy Users...

... Abstract The objective of this paper is to optimize the production contributions of each lateral in oil wells using smart well completion (SWC). This includes enhancing sweep efficiency, increasing oil production, and minimizing water production. The paper also aims to address the challenges...

.... This multifaceted approach not only optimized performance but also underscored the commitment to continual improvement, establishing a noteworthy standard in the realm of well engineering, with a focus on achieving excellence in every facet of the process. In surmounting challenges spanning drilling fluid...

... Abstract Pre-drilling pore pressure prediction based on seismic velocity is a critical step in the oil and gas industry to ensure drilling safety and optimize well construction. However, due to the limit resolution of the seismic data, the pore pressure prediction result is not good enough...

... digital was adopted and various digitalization projects are being deployed to allow remote monitoring & Control of gas lifted wells. which suggest several values ; Productivity : Digital oil field supported production optimization by optimum lift gas utilization giving more room for reactivation...

... for improved decision-making related to reservoir management, well diagnostics, and cost optimization. The utilization of ML for back allocation holds considerable promise for boosting operational efficiency and profitability in oil and gas production systems. Looking ahead, further research will seek to apply...