Digital oilfield
This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.
This paper proposes a novel approach toward drilling maximum-reservoir-contact wells by integrating automated drilling and geosteering software to control the downhole bottomhole assembly, thereby minimizing the need for human intervention.
This paper offers an exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the lessons learned from implementation in a smart oil field that uses several types of MPFM.
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The need to understand the future trends of the oil industry has never been greater than it is today. -
In this study, the authors investigated a fully data-driven approach using artificial neural networks (ANNs) for real-time virtual flowmetering and back-allocation in production wells.
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The authors detail the development of a technique based on surface-to-borehole controlled-source electromagnetics (CSEM), which exploits the large contrast in resistivity between injected water and oil to derive 3D resistivity distributions, proportional to saturations, in the reservoir.
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In this paper, the authors describe a project to design, field trial, and qualify an alternative solution for real-time monitoring of the oil rim in carbonate reservoirs that overcomes these disadvantages.
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This industry is one often considered reactive and overly tradition-bound. These new technologies, however—and, more importantly, the drive of these researchers to harness their capabilities—prove that petroleum engineers remain at the forefront of innovation and discovery.
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The world’s largest oilfield services firm and one of the largest providers of SCADA systems have formed a joint venture to create Sensia, an integrated automation suite.
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Inspection data management system software can help companies bolster their mechanical integrity programs, but choosing the wrong software can have a lasting impact on a company’s operations. So, what goes into finding the right software for your needs?
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For too long, owner/operators have managed operational profitability using paper-based processes or monthly reporting cycles. In the new technological climate, this approach has been proven to be less effective. Enter the industrial Internet of things.
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The papers selected for this issue focus on key factors in achieving a successful well test. They also apply reservoir fundamentals as well as sound engineering judgment, with examples from conventional and unconventional assets.
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A survey of oil and gas decision-makers by Ernst & Young sheds light on how companies are formulating their digital strategies.
