... drillstem/well testing fmb model production data well 2 reservoir evaluation straight line reservoir material balance average pressure production monitoring upstream oil & gas well 1 average reservoir pressure spe reservoir evaluation engineering calculation spe reservoir evaluation...

... reserves evaluation prediction incorporation pcml production monitoring modeling & simulation complex reservoir upstream oil & gas training data spe reservoir evaluation differential equation deep learning well production production data unconventional reservoir physics-based model...

.... This resulting data-driven algorithm was applied to production data from both synthetic and actual case histories. Synthetic production data from a multistage, hydraulically fractured horizontal completion in a reservoir modeled after the Marcellus Shale reservoir were generated using a reservoir model...

... 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...

... 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...

...Ishank Gupta; Chandra Rai; Deepak Devegowda; Carl Sondergeld Summary In this study we analyze the production data from 2,755 horizontal wells in the Haynesville Shale. Correlations were generated to predict 4-, 5-, 6-, and 7-year cumulative production from initial, 6-, 12-, and 24-month production...

...Rafael Wanderley de Holanda; Eduardo Gildin; Peter P. Valkó Summary Decline curves are the simplest type of model to use to forecast production from oil and gas reservoirs. Using a selected decline model and observed production data, a trend is projected to predict future well performance...

...) would not be applicable in this scenario, because producing wells need to pre–exist in the target field. The objective of our work was to make first–order forecasts of production rates at prospective, undrilled sites using only production data from existing wells in the entire play. This is accomplished...

...Egbadon Udegbe; Eugene Morgan; Sanjay Srinivasan Summary In recent years, there has been a proliferation of massive subsurface data sets from sources such as instrumented wells. This places significant challenges on traditional production‐data‐analysis methods for extracting useful information...

...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...

... equation, where the constant-decline rate is replaced by a power-law-function variable decline rate. The application of this method is shown using production data from Haynesville Formation and Eagle Ford Formation shales. The average error in cumulative-production prediction for 20 wells was found...

... distance‐based localization. To demonstrate the efficacy of correlation‐based adaptive localization, we adopt an iterative ensemble smoother (iES) with the proposed localization scheme to history match the real production data of the Norne Field model, and we compare the history‐matching results with those...

... set in a work flow that incorporates heuristic knowledge into the history matching and uncertainty quantification by assigning weights to rate measurements. The heuristic rules aim to lessen the effects of nonreservoir-related variations in the production data (e.g., temporary shut-in caused...

...-equation parameters into the Arps’ DCA model and generating a large number of production-profile realizations. Summary statistics (mean, standard deviation) between the simulated and observed production data are then compared. On the basis of some optimum threshold value, the rejection-sampling technique...

... with real-field features. The methodology generates new geostatistical images on the basis of new well logs, assimilates production data with an ensemble-based method, and reoptimizes the PS with a hybrid algorithm. The field development is carried out by repeatedly applying this framework with human...

... production data SPE Reservoir Evaluation fracture Copyright 2017, Society of Petroleum Engineers 13 2 2015 28 9 2016 26 9 2016 10 11 2016 27 4 2015 11 8 2017 The effective permeability ( k e ) is approximately equal to the natural fracture permeability ( k f...

... the project or to proceed to the next stage. It is demonstrated how the view on the average expected ultimate recovery (EUR) of a well in an unconventional reservoir can be continually revised as new information surfaces. Production data from a large well set from the Montney Formation, which straddles...

...Zhaoqi Fan; Yin Zhang; Daoyong Yang Summary In this paper, a modified ensemble randomized maximum-likelihood (EnRML) algorithm has been developed to estimate three-phase relative permeabilities with consideration of the hysteresis effect by reproducing the actual production data. Ensemble-based...

...M. S. Shahamat; L.. Mattar; R.. Aguilera Summary Analysis of production data from tight and shale reservoirs requires the use of complex models for which the inputs are rarely known. The same objectives can also be achieved by knowing only the overall (bulk) characteristics of the reservoir...

... characterization ensemble member production data hydraulic fracture reservoir Upstream Oil & Gas Simulation production history University fracture intensity permeability realization november 2015 shale-ga reservoir Shale-gas reservoirs with low-permeability rock matrix often experience...