... smoother petrol history matching ensemble schiozer brazil rock type reservoir characterization spe reservoir evaluation anomaly baseline porosity The ultimate goal of DA, or history matching, is to calibrate reservoir models using all available data to reduce the models’ uncertainties...

... multifractured horizontal wells (MFHWs). However, these methods are based on some limiting assumptions that cannot be generalized for three-phase flow or when relative permeability is unknown. In this study, a new RTA-assisted history-matching technique is proposed to simultaneously match production data...

... to use two methods to develop reliable and parsimonious models scalable to large-scale systems. In addition, we propose a more robust method to assimilate pressure data. We applied the proposed approach to a synthetic and a field example. Two different history-matching algorithms, the ensemble smoother...

...Ying Li; Faruk Omer Alpak; Vivek Jain; Ranran Lu; Mustafa Onur Summary In this study, we present a novel application of our newly developed physics-based data-driven interwell numerical simulator (INSIM) referred to as INSIM-BHP to history match highly variable real-life (oscillatory) oil rate...

... & gas history matching deep learning fluid dynamics united states government neural network flow in porous media ensemble permeability grid property brazil government uncertainty reduction reservoir simulation artificial intelligence spe reservoir evaluation da3 posterior ensemble da1...

... simulation log analysis structural geology rock composition artificial intelligence upstream oil & gas well logging history matching precision constant mcmce model parameter fraction standard deviation pdf endpoint matrix gamma ray endpoint multimineral analysis misfit composition...

...L. M. Ruiz Maraggi; L. W. Lake; M. P. Walsh Summary Extrapolation of history matched single-phase flow solutions is a common practice to forecast production from tight-oil reservoirs. Nonetheless, this approach (a) omits multiphase flow effects that exist below bubblepoint conditions and (b) has...

... 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...

... 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...

... 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...

... 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...

... reservoir surveillance asset and portfolio management field development optimization and planning history matching steam-assisted gravity drainage reservoir simulation upstream oil & gas hydrocarbon production forecasting information exhibition usa workflow production forecasting digital...

... fluid modeling production control artificial intelligence equation of state waterflooding reservoir characterization reservoir surveillance risk and uncertainty assessment reservoir simulation geological modeling production monitoring risk management complex reservoir history matching...

... sensitivity analysis on CHOPS production profiles. Subsequently, the proposed framework is tested through a laboratory CHOPS experiment. We obtained not only fairly history‐matched production data (i.e., cumulative oil, gas, and sand production), but also satisfactorily converged three‐phase relative...

... 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...

... 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 marsili atlanta field permeability production control production monitoring log analysis well logging bitumen flow in porous...

... 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 characterization...

...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...

...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...

... pure mineral machine learning Upstream Oil & Gas correlation vector mineral vector true mineralogy noise pure mineral mineral spectra correlation inversion estimation spectra Bayesian Inference ith column mineralogy SPE Reservoir Evaluation matrix fraction history matching...