forecasting
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The authors discuss the development of a deep-learning model to identify errors in simulation-based performance prediction in unconventional reservoirs.
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The authors of this paper propose a novel approach to data-driven modeling for transient production of oil wells.
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The complete paper builds on existing tools in the literature to quantify the effect of changing well spacing on well productivity for a given completion design, using a new, simple, intuitive empirical equation.
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This paper describes a development plan for an oil field discovered in a remote offshore environment in the Niger Delta that uses a probabilistic approach to estimate the STOOIP using low, mid, and high cases.
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The paper provides insights on diffusion in organic matter to correct a primary source of underestimation of gas production in shale-gas models.
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This paper presents a mathematical analysis of how incorrect estimates of initial reservoir pressure may affect rate-transient analysis in ultralow-permeability reservoirs.
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SponsoredGain deeper insights on your system and its performance. Use integrated modeling to explore the effects of changing conditions and equipment to avoid unplanned downtime.
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The fast-growing software firm was founded by former oil and gas professionals who wanted to disrupt traditional reservoir economics software and redefine workflows.
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If the forecast bears out, 2022 will be the seventh straight above-average hurricane season.
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Recent history has taught the unconventional sector that overly optimistic production forecasts can backfire. Going forward, one solution may be to combine financial and subsurface models to better communicate expectations.