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Keywords: history matching
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Journal Articles
SPE Res Eval & Eng 24 (04): 780–808.
Paper Number: SPE-202700-PA
Published: 10 November 2021
... and efficiency of the developed model. The respective crossplots indicate that the model is capable of making accurate predictions with an error percentage of less than 2% on history matching experimental data. This implies that the artificial-intelligence- (AI-) based model is capable of determining K r and P c...
Journal Articles
SPE Res Eval & Eng 24 (04): 809–826.
Paper Number: SPE-205188-PA
Published: 10 November 2021
... production monitoring flow in porous media drillstem testing drillstem/well testing exhibition reservoir evaluation numerical model history matching oil-production rate spe annual technical conference spe reservoir evaluation spe reservoir evaluation & engineering upstream oil & gas...
Journal Articles
SPE Res Eval & Eng 24 (03): 495–513.
Paper Number: SPE-199987-PA
Published: 11 August 2021
... pair primarily communicates through PHFs, the equations for two communicating wells are coupled and solved simultaneously to model the fluid transfer between the wells. This method is used within a history-matching framework to estimate the communication between the wells by matching the production...
Journal Articles
SPE Res Eval & Eng 24 (01): 19–36.
Paper Number: SPE-200568-PA
Published: 10 February 2021
... flood are often reservoir geology and polymer degradation. The objective of this study is to understand the impact of geological uncertainties and history matching techniques on designing the optimal strategy for, and quantifying the economic risks of, polymer flooding in a heterogeneous clastic...
Journal Articles
SPE Res Eval & Eng 23 (04): 1358–1372.
Paper Number: SPE-200540-PA
Published: 12 November 2020
... management modeling & simulation complex reservoir neural network machine learning data mining reservoir surveillance asset and portfolio management field development optimization and planning history matching steam-assisted gravity drainage reservoir simulation upstream oil & gas...
Journal Articles
SPE Res Eval & Eng 23 (04): 1343–1357.
Paper Number: SPE-203828-PA
Published: 12 November 2020
... complex reservoir history matching machine learning enhanced recovery modeling & simulation objective function testing data neural network reserves evaluation upstream oil & gas kernel function training data cumulative oil computational time simulator application production risk...
Journal Articles
SPE Res Eval & Eng 23 (03): 0930–0942.
Paper Number: SPE-186080-PA
Published: 13 August 2020
... sensitivity analysis on CHOPS production profiles. Subsequently, the proposed framework is tested through a laboratory CHOPS experiment. We obtained not only fairly historymatched production data (i.e., cumulative oil, gas, and sand production), but also satisfactorily converged three‐phase relative...
Journal Articles
SPE Res Eval & Eng 23 (03): 1006–1018.
Paper Number: SPE-191623-PA
Published: 13 August 2020
... the influential parameters for injection wellhead pressure and earthquake data. A Pareto‐based multi‐objective history matching is performed using these influential parameters. The calibrated results are used to identify the controlling mechanisms for seismicity in the Azle area, North Texas...
Journal Articles
SPE Res Eval & Eng 23 (02): 591–605.
Paper Number: SPE-199889-PA
Published: 14 May 2020
... Reservoir Characterization Upstream Oil & Gas drillstem/well testing BHP ESP productivity index well atl-3 Drillstem Testing well atl-2 production data reservoir simulation SPE Reservoir Evaluation in-well esp history matching seabed esp well atl-4 oil rate reservoir model History...
Journal Articles
SPE Res Eval & Eng 23 (02): 578–590.
Paper Number: SPE-199355-PA
Published: 14 May 2020
... Reservoir Evaluation procedure water production Implementation cumulative oil production reservoir model reservoir simulation gas production operation production optimization injection water-injection rate water injection forecast production monitoring history matching reservoir...
Journal Articles
SPE Res Eval & Eng 23 (02): 534–550.
Paper Number: SPE-196715-PA
Published: 14 May 2020
...Saeeda AlAmeri; Mohamed AlBreiki; Sebastian Geiger Summary In this paper we demonstrate how key geological uncertainties in a giant onshore carbonate reservoir in the Middle East, most notably fracture permeability and saturation distributions, impact the quality of the history match and change...
Journal Articles
SPE Res Eval & Eng 23 (01): 013–030.
Paper Number: SPE-187081-PA
Published: 17 February 2020
...Forlan La Rosa Almeida; Alessandra Davolio; Denis José Schiozer Summary History matching (HM) is a complex process that aims to increase the reliability of reservoir‐simulation models. HM is an inverse problem with multiple solutions that call for probabilistic approaches. When observed data...
Journal Articles
SPE Res Eval & Eng 23 (01): 158–176.
Paper Number: SPE-195679-PA
Published: 17 February 2020
... column mineralogy SPE Reservoir Evaluation matrix fraction history matching estimator mineral composition engineering Analysis of mineralogy from geological samples is crucial in evaluating oilfield formations; the distribution and abundance of minerals in a formation determines various...
Journal Articles
SPE Res Eval & Eng 23 (01): 230–246.
Paper Number: SPE-197065-PA
Published: 17 February 2020
... by a factor of ≈1,000 to yield states governed by capillary forces and advective forces. The results were interpreted using both full history matching of the transient data and matching of the steady‐state data with the analytical solution. The experimental procedure and model demonstrate that only water...
Includes: Supplementary Content
Journal Articles
SPE Res Eval & Eng 22 (04): 1426–1435.
Paper Number: SPE-187276-PA
Published: 14 November 2019
... upscaled (coarsened) on the basis of a single–phase flow to perform history matching and sensitivity analyses within affordable computational times. However, this coarse–grid resolution (typically, approximately 100 ft) is insufficient for CEOR, and hence usually fails to capture key physical mechanisms...
Journal Articles
SPE Res Eval & Eng 22 (04): 1481–1500.
Paper Number: SPE-191516-PA
Published: 14 November 2019
.... The method is then tested with a synthetic historymatching problem using the SPE01 reservoir model (Odeh 1981 ; Islam and Sepehrnoori 2013 ) with eight uncertain parameters. The proposed method generates conditional samples that are better than or equivalent to those generated by other methods...
Journal Articles
SPE Res Eval & Eng 22 (03): 998–1014.
Paper Number: SPE-187116-PA
Published: 08 January 2019
... the permeability distribution using a few basis-function coefficients that are then updated during history matching. This leads to an efficient and robust work flow for field-scale history matching. The history-matched model provided important information about reservoir volumes, flow zones, and aquifer support...
Journal Articles
SPE Res Eval & Eng 21 (04): 1007–1026.
Paper Number: SPE-191373-PA
Published: 15 November 2018
...Zhenyu Guo; Chaohui Chen; Guohua Gao; Richard Cao; Ruijian Li; Chunlei Liu Summary Reservoir model parameters generally have very large uncertainty ranges, and need to be calibrated by history matching (HM) available production data. Properly assessing the uncertainty of production forecasts (e.g...
Journal Articles
SPE Res Eval & Eng 22 (03): 1084–1109.
Paper Number: SPE-191305-PA
Published: 31 October 2018
...Xiaodong Luo; Rolf J. Lorentzen; Randi Valestrand; Geir Evensen Summary Ensemble‐based methods are among the state‐of‐the‐art historymatching algorithms. However, in practice, they often suffer from ensemble collapse, a phenomenon that deteriorates historymatching performance. It is customary...
Journal Articles
SPE Res Eval & Eng 22 (03): 1131–1143.
Paper Number: SPE-182719-PA
Published: 02 October 2018
... geological realism and have predictive capabilities are being developed and used. These models are commonly calibrated using assisted‐historymatching (AHM) methods which, in general, will lead to reduced uncertainty in the predicted production. Although uncertainty assessment and reduction are often...

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