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Probabilistic Decline Curve Analysis in Unconventional Reservoirs Using Bayesian and Approximate Bayesian Inference
Language: en
Pages: 170
Authors: Anand A. Korde
Categories: Bayesian statistical decision theory
Type: BOOK - Published: 2019 - Publisher:

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In this work, a probabilistic methodology for Decline Curve Analysis (DCA) in unconventional reservoirs is presented using a combination of Bayesian statistical
Approximate Bayesian Computation for Probabilistic Decline Curve Analysis in Unconventional Reservoirs
Language: en
Pages: 146
Authors: Mohit Paryani
Categories: Hydrocarbon reservoirs
Type: BOOK - Published: 2015 - Publisher:

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Predicting the production rate and ultimate production of shale resource plays is critical in order to determine if development is economical. In the absence of
Application of Probabilistic Decline Curve Analysis to Unconventional Reservoirs
Language: en
Pages: 126
Authors: Uchenna C. Egbe
Categories: Oil shale reserves
Type: BOOK - Published: 2022 - Publisher:

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This work presents the various probabilistic methodology for forecasting petroleum production in shale reservoirs. Two statistical methods are investigated, Bay
Using Decline Curve Analysis, Volumetric Analysis, and Bayesian Methodology to Quantify Uncertainty in Shale Gas Reserve Estimates
Language: en
Pages:
Authors: Raul Alberto Gonzalez Jimenez
Categories:
Type: BOOK - Published: 2013 - Publisher:

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Probabilistic decline curve analysis (PDCA) methods have been developed to quantify uncertainty in production forecasts and reserves estimates. However, the app
Bayesian Non-Linear Quantile Regression with Application in Decline Curve Analysis for Petroleum Reservoirs
Language: en
Pages:
Authors: Youjun Li
Categories: Bayesian statistical decision theory
Type: BOOK - Published: 2017 - Publisher:

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In decline curve analysis for hydrocarbon reservoirs, the use of quantile regression instead of the conventional mean regression would be appropriate in the con