Formation evaluation
The authors of this paper propose a hybrid approach that combines physics with data-driven approaches for efficient and accurate forecasting of the performance of unconventional wells under codevelopment.
This paper develops a deep-learning work flow that can predict the changes in carbon dioxide mineralization over time and space in saline aquifers, offering a more-efficient approach compared with traditional physics-based simulations.
The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs.
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Individually and collectively, we are currently facing undeniable difficult times. But, as has been said, challenges are also opportunities. It is a proper time for all of us to pause a bit and formulate way-forward plans that suit our needs.
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A well was drilled into a prospective unconventional mudstone play offshore Norway. Two of five coring runs were successful while the rest yielded little to no core recovery. Subsequent investigation of the core substantiated that the coring issues largely had natural causes.
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This paper introduces a new core-analysis work flow for determining resistivity index (RI), formation factor (FF), and other petrophysical properties directly from an as-received (AR) set of core samples.
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Formation evaluation drew special attention at the 2019 International Petroleum Technology Conference Education Week in Beijing, 24–28 March 2019. The student team that worked on Integrated Formation Evaluation for Resources Exploration and Reservoir Delineation won the first-place award.
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This paper bridges the gap between operational petrophysicists and FTS specialists, introducing an automated work flow by which petrophysicists can conduct FTS jobs.
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What effects will Industrial Revolution 4.0 have on the upstream oil and gas businesses in general and petrophysics in particular? We should see more intelligence and automation in measurements, processes, work flows, and operations.
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The complete paper presents different methods of using pressure-transient data from WFTs; many of these methods are summarized here.
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Schlumberger’s new multifunction spectroscopy system builds on previous innovations to offer the first complete cased-hole formation evaluation and reservoir saturation monitoring capability that provides openhole-equivalent logging measurements.
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Emerging technologies have helped bring about multilateral, maximum-contact, and smart-completion wells, allowing reservoirs to be developed and produced much more efficiently and economically. In this, formation evaluation plays a critical role.
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Coalbed methane development can require a large volume of wells, but the costs of logging can be prohibitive, so alternate formation-evaluation solutions are being evaluated. This paper compares state-of-the-art mining logging technology with conventional oil-and-gas approaches.