Dual-Permeability Models for Coupled Reservoir Geomechanical Modeling: Application to Field Production Data

2011 ◽  
Author(s):  
Xing Zhang ◽  
Nick C. Koutsabeloulis ◽  
David John Press ◽  
Kwang-Ho Lee
Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1052
Author(s):  
Baozhong Wang ◽  
Jyotsna Sharma ◽  
Jianhua Chen ◽  
Patricia Persaud

Estimation of fluid saturation is an important step in dynamic reservoir characterization. Machine learning techniques have been increasingly used in recent years for reservoir saturation prediction workflows. However, most of these studies require input parameters derived from cores, petrophysical logs, or seismic data, which may not always be readily available. Additionally, very few studies incorporate the production data, which is an important reflection of the dynamic reservoir properties and also typically the most frequently and reliably measured quantity throughout the life of a field. In this research, the random forest ensemble machine learning algorithm is implemented that uses the field-wide production and injection data (both measured at the surface) as the only input parameters to predict the time-lapse oil saturation profiles at well locations. The algorithm is optimized using feature selection based on feature importance score and Pearson correlation coefficient, in combination with geophysical domain-knowledge. The workflow is demonstrated using the actual field data from a structurally complex, heterogeneous, and heavily faulted offshore reservoir. The random forest model captures the trends from three and a half years of historical field production, injection, and simulated saturation data to predict future time-lapse oil saturation profiles at four deviated well locations with over 90% R-square, less than 6% Root Mean Square Error, and less than 7% Mean Absolute Percentage Error, in each case.


2008 ◽  
Author(s):  
Najim Abdulla Al-Kitany ◽  
Bisweswar Ghosh ◽  
Yasser Elmoghazy Fakhreldin ◽  
Ali S. Bemani ◽  
Hamoud Khalfan H. Al-Hadrami ◽  
...  

Author(s):  
Gabriela Souza Chaves ◽  
Hamidreza Karami ◽  
Virgilio Jose Martins Ferreira Filho ◽  
Bruno Ferreira Vieira

2021 ◽  
Author(s):  
Egor Dontsov ◽  
Roberto Suarez-Rivera ◽  
Rohit Panse ◽  
Christopher Quinn ◽  
Heather LaReau ◽  
...  

AbstractAs the number of wells drilled in regions with existing producing wells increases, understanding the detrimental impact of these by the depleted zone around parent wells becomes more urgent and important. This understanding should include being able to predict the extent and heterogeneity of the depleted region near the pre-existing wells, the resulting altered stress field, and the effect of this on newly created fractures from adjacent child wells. In this paper we present a workflow that addresses the above concern in the Eagle Ford shale play, using numerical simulations of fracturing and reservoir flow, to define the effect of the depletion zone on child wells and match their field production data. We utilize an ultra-fast hydraulic fracture and depletion model to conduct several hundred numerical simulations, with varying values of permeability and surface area, seeking for cases that match the field production data. Multiple solutions exist that match the field data equally well, and we used additional field production data of parent-child well-interaction, to select the most plausible model. Results show that the depletion zone is strongly non-uniform and that large reservoir regions remain undepleted. We observe two important effects of the depleted zone on fractures from child wells drilled adjacent to the parents. Some fractures propagate towards low pressure zones and do not contribute to production. Others are repelled by the higher stress region that develops around the depletion zone, propagate into undepleted rock, and have production rates commensurate to that from other child wells drilled away from depleted region. The observations are validated by the field data. Results are being used to optimize well placement and well spacing for subsequent field operations, with the objective to increase the effectiveness of the child wells.


1975 ◽  
Vol 15 (06) ◽  
pp. 477-486
Author(s):  
J.K. Dietrich

Abstract Reliable reservoir fluid saturation data areimportant to the over-all planning for prospectivesupplemental recovery projects. A trial-and-error graphical procedure, based on the fractional flowequation and using field production data, has beendeveloped to determine these values with reasonable accuracy. Introduction The preliminary analysis of a reservoir todetermine the feasibility of supplemental recoveryoperations requires a reliable estimate of reservoir fluid saturations, and a judgment must be made asto the degree of accuracy desired. An increase inthe complexity, data requirements, andsophistication of the various available solution methods doesnot necessarily imply that the results will be moreprecise. The decision as to which solution method should be used is sometimes difficult to make.This decision should consider, among other things, engineering manpower requirements for the various alternatives, the quality of existing data, and thesensitivity of the project economics to a reasonablevariation in fluid saturation levels.Average oil, water, and gas saturations for areservoir as a whole are usually determined by apressureTroducdonhistorymatchusingconventionalmaterial-balance methods. More sophisticatednumerical simulation techniques are generally used to determine reservoir saturation distributions.Simulation work can be time consuming andexpensive when efforts are made to determineaccurately the saturation distribution by attemptingto match the individual performances of a largenumber of wells.A trial-error graphical procedure has been developed as an alternative to the moresophisticated methods. Because of its easy use, the procedure may be considered as an efficientand economical application of engineering effort forplanning purposes. An application of this techniqueis illustrated for the Ten Section field, KernCounty, Calif. RESERVOIR DESCRIPTION The Ten Section field, located near Bakersfield, Calif., was discovered in 1936; developmentprogressed continuously until 1942, at which time 126 wells had been completed within the originallyproductive area of about 2,200 acres (Fig. 1). TheTen Section structure is a gently dipping (3 deg. to 7 deg.)doubly plunging anticline. The producing measuresare the upper Miocene Stevens turbidite sands, which have been subclassified as Zones 1, 2, and 3.The Zone 2 reservoir includes the intermediateseries of these sands that are bounded above by athin continuous shale varying in thickness from 5to 10 ft and are separated from the deeper measuresby an extensive thin shale. The sand intervals ofthe upper Stevens turbidite sequence are composedof individually graded and rythmically beddeddeposits. Core observations indicate that the cyclesaverage 2 to 3 ft in thickness and that the sandscomposing each cycle display the usual turbiditevariation in grain size (grading from coarse at thebase to fine at the top). Both sands and shaleswithin Zone 2 are discontinuous and few units arecorrelative across the field.Original oil in place within the Zone 2 volume of170,000 net acre-ft is estimated to have been 91million STB. About 35 million STB of oil (38.5percent) have been produced to date. An activepartial water drive is currently maintaining reservoirpressure in most portions of the field and anultimate primary recovery efficiency of 41.5 percentof the stock tank oil originally in place should berealized. Table I lists the pertinent reservoirproperties.About 58,000 acre-ft of the crestal portion of thereservoir are currently productive (Fig. 2). Part ofthis volume has been swept by natural water influx, as evidenced by the high producing water cuts inmany of me wells. Reservoir heterogeneitiesaccount for the lack of an easily discernible commonwater level in Zone 2. SPEJ P. 477^


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