Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
This study demonstrates the transformative potential of physics-informed neural networks as a hybrid framework for multiphase flow measurement.
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As data sets collected in the field have grown exponentially, data management challenges have both evolved and compounded. This article addresses these pain points and presents strategies and solutions that should be implemented to ensure data compliance and entitlement and promote ease of accessibility, both internally and externally. -
The supermajor and oilfield service company have teamed up for the second time in 4 years on the deployment of a new optimization software.
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The authors of this paper evaluate the effectiveness of production-enhancement activities for a long-string, gas-lifted producer using distributed-temperature-sensing technology.
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The authors of this paper write that 4D data are an integral part of a reservoir-management program and, together with geological and production history data, are being used to update reservoir models to further the goals of field development.
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The authors of this paper describe the development of a continuous monitoring solution throughout its deployment.
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Whether buying or selling, quality, non-production data can help operators achieve improved margins and less downtime, unlocking the true potential of their wells.
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SponsoredEach well drilled, stimulated, and completed represents a significant investment in time, resources, and expenses. From artificial lift system design to maintenance scheduling, maximize your investment by ensuring optimal flow and production throughout the life cycle.
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The company revealed programs for managing production and industrial asset performance. It also announced a collaboration aimed at enhancing rig visualization.
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SPE Data Science and Engineering Analytics Technical Director Silviu Livescu and SPE Reservoir Technical Director Rodolfo Camacho address some of the challenges in the application of data analytics, artificial intelligence, and machine learning to several reservoir engineering problems.
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The company used an uncrewed surface vessel and an electric remotely operated vehicle to conduct a survey for TAQA in the North Sea.
