Validation and Analysis of the Physics-Based Scaling Curve Method for Ultimate Recovery Prediction in Hy-Draulically Fractured Shale Gas Wells
D Arias Ortiz, N Bounceur, TW Patzek - SPE Annual Technical …, 2022 - onepetro.org
proposed the generalized physics-based scaling curve method as an alternative approach
to the empirical decline curve analysis that predicted shale gas well production …
to the empirical decline curve analysis that predicted shale gas well production …
Parameter Estimation for a Gas Lifting Oil Well Model Using Bayes' Rule and the Metropolis–Hastings Algorithm
Oil well models are frequently used in the oil production process. Estimation of unknown
parameters of these models has long been a question of great interest in the oil industry …
parameters of these models has long been a question of great interest in the oil industry …
[HTML][HTML] Dynamic parameter estimation and uncertainty analysis of electrical submersible pumps-lifted oil field using Markov chain Monte Carlo approaches
Z Ban, C Pfeiffer - Geoenergy Science and Engineering, 2024 - Elsevier
Parameter estimation is an important part of model fitting in the design and validation of a
first-principle oil well model, which describes pressure and flow dynamics in an oil well …
first-principle oil well model, which describes pressure and flow dynamics in an oil well …
Using Bayesian leave-one-out and leave-future-out cross-validation to evaluate the performance of rate-time models to forecast production of tight-oil wells
Production forecasting is usually performed by applying a single model from a classical
statistical standpoint (point estimation). This approach neglects:(a) model uncertainty and (b) …
statistical standpoint (point estimation). This approach neglects:(a) model uncertainty and (b) …
Bayesian Predictive Performance Assessment of Rate-Time Models for Unconventional Production Forecasting
A common industry practice is to select a particular model from a set of models to history
match oil production and estimate reserves by extrapolation. Future production forecasting is …
match oil production and estimate reserves by extrapolation. Future production forecasting is …
Bayesian Predictive Performance Assessment of Rate-Time Models for Unconventional Production Forecasting
A common industry practice is to select a particular model from a set of models to history
match oil production and estimate reserves by extrapolation. Future production forecasting is …
match oil production and estimate reserves by extrapolation. Future production forecasting is …
HMC Techniques for Reducing the Uncertainty of Gas-Lifted Oil Field Model
K Jayamanne, B Lie - 2023 - mic-journal.no
Parametric model uncertainties could have a high impact on the predictive capabilities of a
model. When process measurements become available, these uncertainties may be …
model. When process measurements become available, these uncertainties may be …
Validation and Analysis of the Physics-Based Scaling Curve Method for Ultimate Recovery Prediction in Hy-Draulically Fractured Shale Gas Wells
Abstract Patzek et al.(2013, 2014) proposed the generalized physics-based scaling curve
method as an alternative approach to the empirical decline curve analysis that predicted …
method as an alternative approach to the empirical decline curve analysis that predicted …
Averaging predictions of rate-time models using Bayesian leave-future-out cross-validation and the Bayesian Bootstrap in Probabilistic Unconventional Production …
Two main limitations occur when selecting a model with the best predictive accuracy over a
set of candidates to extrapolate future production of wells. First, from a Bayesian standpoint …
set of candidates to extrapolate future production of wells. First, from a Bayesian standpoint …
Parameter and State Estimation for an Oil Production Model using Julia
Dynamic models of industrial processes play an instrumental role in the operation of such
processes from smart sensors, data reconciliation, to advanced control. For good …
processes from smart sensors, data reconciliation, to advanced control. For good …