Reservoir history matching using constrained ensemble Kalman filtering
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.22965
Abstract: The high heterogeneity of petroleum reservoirs, represented by their spatially varying rock properties (porosity and permeability), greatly dictates the quantity of recoverable oil. In this work, the estimation of the spatial permeability distribution, which is… read more here.
Keywords: estimation; kalman filtering; history matching; ensemble kalman ... See more keywords
Gaussian Processes for history-matching: application to an unconventional gas reservoir
Sign Up to like & getrecommendations! Published in 2017 at "Computational Geosciences"
DOI: 10.1007/s10596-016-9611-2
Abstract: The process of reservoir history-matching is a costly task. Many available history-matching algorithms either fail to perform such a task or they require a large number of simulation runs. To overcome such struggles, we apply… read more here.
Keywords: reservoir; gas; history matching; model ... See more keywords
Image-oriented distance parameterization for ensemble-based seismic history matching
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DOI: 10.1007/s10596-017-9652-1
Abstract: Time-lapse (4D) seismic data provides spatial information about dynamic changes in a reservoir. This information can be used in combination with production data from wells to adjust reservoir models through a history matching procedure. However,… read more here.
Keywords: distance; seismic data; distance parameterization; history matching ... See more keywords
Gaussian mixture model fitting method for uncertainty quantification by conditioning to production data
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DOI: 10.1007/s10596-019-9823-3
Abstract: For most history matching problems, the posterior probability density function (PDF) may have multiple local maxima, and it is extremely challenging to quantify uncertainty of model parameters and production forecasts by conditioning to production data.… read more here.
Keywords: gmm; production; production data; history matching ... See more keywords
Data-space inversion with ensemble smoother
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DOI: 10.1007/s10596-020-09933-w
Abstract: Reservoir engineers use large-scale numerical models to predict the production performance in oil and gas fields. However, these models are constructed based on scarce and often inaccurate data, making their predictions highly uncertain. On the… read more here.
Keywords: data space; history matching; history; space inversion ... See more keywords
Influence of the Pressure Sensitive Effect on the Accuracy of History Matching for Hydraulic Fracturing Wells
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DOI: 10.1007/s13369-021-05370-8
Abstract: Evaluation of the hydraulic fracturing effect of shale gas wells is helpful for the design optimization and the adjustment of hydraulic fracturing schemes. Three history matching examples were performed for shale gas wells in the… read more here.
Keywords: effect; history matching; sensitive effect; pressure sensitive ... See more keywords
Initial model selection for efficient history matching of channel reservoirs using Ensemble Smoother
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.03.020
Abstract: Abstract Ensemble Smoother (ES) is one of popular reservoir characterization methods in petroleum engineering. It updates unknown reservoir parameters by integrating available data and utilizing multiple number of models, known as ensemble. In addition, ES… read more here.
Keywords: ensemble members; channel reservoirs; history matching; model ... See more keywords
History matching and production optimization under uncertainties – Application of closed-loop reservoir management
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.07.037
Abstract: Abstract There is an intensive investigation reported in the literature regarding the development of robust methods to improve the economical performance during the production management of petroleum fields. One paradigm that emerged in the last… read more here.
Keywords: history matching; closed loop; production; production optimization ... See more keywords
A practical and efficient iterative history matching workflow for shale gas well coupling multiple objective functions, multiple proxy-based MCMC and EDFM
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.01.080
Abstract: Abstract A manual history matching is a time-consuming process and too risky for an investment decision because it cannot capture the uncertainty of subsurface information and production forecast. Therefore, Assisted History Matching (AHM) was adopted… read more here.
Keywords: gas; history matching; efficient iterative; history ... See more keywords
History matching geological facies models based on ensemble smoother and deep generative models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.02.037
Abstract: Abstract The current research trend in history matching is to consider more realistic reservoir models with complex geology. Hence, it is important to be able to update facies models during the solution. Although Kalman filter-based… read more here.
Keywords: facies models; history matching; deep generative; geological facies ... See more keywords
Deep neural network coupled with distance-based model selection for efficient history matching
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.106658
Abstract: Abstract This paper develops a novel approach of deep neural network (DNN)-based inverse modeling with selecting more reliable supervised-learning datasets with distance-based maps allocated at individual well levels. To mitigate divergence and overshooting in multi-scaled… read more here.
Keywords: neural network; history matching; deep neural; distance based ... See more keywords