SPE 71090 Advanced Reservoir Modeling in Desorption-Controlled

Total Page:16

File Type:pdf, Size:1020Kb

SPE 71090 Advanced Reservoir Modeling in Desorption-Controlled SPE 71090 Advanced Reservoir Modeling In Desorption-Controlled Reservoirs Scott Reeves, Advanced Resources International, Houston, Texas; Larry Pekot, Advanced Resources International, Arlington, Virginia Copyright 2001, Society of Petroleum Engineers Inc. permeability, etc. Analysis of core and other data suggests that This paper was prepared for presentation at the SPE Rocky Mountain Petroleum Technology another porosity and permeability system is required to Conference held in Keystone, Colorado, 21–23 May 2001. account for this effect, specifically within the matrix blocks This paper was selected for presentation by an SPE Program Committee following review of themselves. An advanced, triple-porosity/dual-permeability information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers and are subject to model has therefore been developed, in which gas desorbs correction by the author(s). The material, as presented, does not necessarily reflect any position of the Society of Petroleum Engineers, its officers, or members. Papers presented at from the internal matrix block surfaces, migrates via SPE meetings are subject to publication review by Editorial Committees of the Society of conventional Darcy flow through micro-permeability matrix, Petroleum Engineers. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of the Society of Petroleum Engineers is and into the cleat system where it then flows to the wellbore. prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous Water can also be stored both within the matrix blocks and in acknowledgment of where and by whom the paper was presented. Write Librarian, SPE, P.O. the cleat system. In essence, this model requires that desorbed Box 833836, Richardson, TX 75083-3836, U.S.A., fax 01-972-952-9435. gas must work its way through the matrix before reaching the cleat system, and must establish a relative permeability to gas Abstract within the matrix block before it can do so. This geometry is Reservoir models typically utilized for desorption-controlled similar to conventional dual-porosity models, with the reservoirs such as coals and gas shales possess dual- addition of an adsorbed gas component. porosity/single-permeability characteristics. In this case dual- porosity means that two in-situ locations exist that can be used Comparisons of this new model versus the historical for gas storage, adsorbed within the matrix and in the free modeling approach confirm that the new model predicts lower form in the cleat system. Single-permeability, which refers to gas and higher water production rates, consistent with field the cleat system, is the only permeability network that gas or evidence. Further, more accurate production forecasts can be water must flow through to reach the wellbore. While this achieved using measured well test information (for the cleat approach to modeling coals and shales has become accepted permeability), low cleat porosities (which are known to exist), practice, experience has shown that the models can frequently and lab-derived porosity and permeability data for the matrix be in gross error when forecasting well or field performance block properties. This paper presents the historical accuracy based on limited reservoir and/or production data; gas problem with reservoir simulation in desorption-controlled production is usually over-predicted and water production reservoirs, the practical theory behind the new model, under-predicted. The implications for economic decision- comparisons between the new and conventional models, and making in an exploration mode are obvious, and there are some example applications. many examples of projects that have suffered from this very problem. Further, reservoir parameters derived from history- Introduction matching, when historical gas production does exist, are In the early 1980’s, when producing gas from coalbeds in the commonly found to be inconsistent with measured U.S. was in its infancy, one of the greatest hurdles for resource permeability and gas sorption/content data. While there has development was having the tool(s) to accurately predict long been considerable effort focused on improved data collection term well and field performance so that investment decisions procedures, such as well testing and gas content measurement could be made. It was in response to this technology obstacle for example, these problems persist. that the staff of Advanced Resources International (ARI) developed the COMET coalbed reservoir simulator (and later While performing reservoir studies in the Antrim a desktop version – COMETPC) with funding from the Gas shale and low-rank coal plays throughout the world, it became Research Institute (now the Gas Technology Institute, or GTI), clear that the accepted assumption of gas desorbing directly which became the de-facto industry-standard tool for coalbed from the coal matrix into the cleat system is not entirely valid. methane (CBM) modeling. Since its earliest versions, the In practice, gas production occurs much later than the models model has been upgraded to a fully 3-D version (COMETPC- predict, and cannot be adequately explained though the normal 3D, funded by a industry consortium in 1989-90). At its core, parameters of sorption time, permeability, relative 2 SCOTT REEVES; LARRY PEKOT SPE 71090 the COMET model is based on the Warren & Root sugar-cube incorporating it either in the adsorbed state within the matrix model to replicate the dual-porosity nature of coals 1 (i.e., gas block, or as free gas in the natural fractures17. Essentially, if adsorbed on the internal surfaces of the coal in the matrix that “extra” gas was placed in the natural fractures, it was blocks, and a cleat system through which two fluid phases - produced too quickly, and if it was placed in the adsorbed free gas and water - flow in the reservoir). state, it was produced too slowly. In either case, to achieve material balance the initial saturation conditions in either the A common schematic for illustrating the nature of natural fractures or the matrix blocks had to be modified from fluid flow in coals is shown in Figure 1, and the model actual measured (and known) values, and the producing rates representation is shown in Figure 2. The processes of would still be in error. To solve this problem, the traditional desorption and diffusion (Figure 1 (a) and (b)) are lumped dual-porosity representation was modified to incorporate a together as one of the sugar-cubes and gas release, described third porosity (gas storage) system within the matrix block to by parameters such as diffusion coefficient and sorption time, provide needed free gas (and water in some cases) storage occurs directly into the cleats. Details on the reservoir capacity. Fundamentally, rather than lumping together mechanics incorporated into the model are provided in the desorption and diffusion (Figure 1 (a) and (b)), they were references2,3. This representation of coalbed methane decoupled such that each could be discretely modeled. This reservoirs has become widely accepted, and now numerous enabled material balance in each porosity system to be models have been developed with a similar premise and are honored, improved well performance forecasting, and the commercially available in the marketplace. COMETPC-3D, direct use of lab and well test data in the model. The following and presumably other models, have been used for a wide sections describe the new model, COMET2, how it performs variety of purposes, including coalbed methane reserve relative to the previous versions, and the implications. estimation4,5, resource assessments6, development of exploration strategy7, development of field spacing rules8, and Description of Triple-Porosity/Dual-Permeability evaluation of best completion, stimulation and operating Model practices9,10,11. COMETPC-3D has also been used extensively for coalbed reservoir characterization, most notably as a Model Description. A conceptual illustration of the new centerpiece of GTI’s extensive R&D programs in the San Juan reservoir model is provided in Figure 3. The mechanics of gas and Warrior basins in the late 1980’s and early desorption are similar to prior versions of COMET (i.e., are 1990’s12,13,14,15,16, which played a significant role in facilitating governed by a Langmuir isotherm and sorption time), as are the growth of U.S. CBM production. the traditional physics of two-phase flow in the cleats. The difference lies in the addition of an entirely new porosity However, mounting evidence suggested that the dual- system within the matrix blocks. This system is characterized, porosity replication being utilized in the various CBM models in terms of reservoir parameters, by values for porosity and was not matching actual field performance without significant permeability, relative permeability (like the cleats, this micro- adjustments to measured reservoir properties. Specifically, porosity is also a two-phase system), capillary pressure, gas results of core analysis could not be directly utilized in the and water saturations, as well as other common reservoir models – permeability estimates were too low, and porosity engineering parameters. The net effect of this system is estimates were too high, to be representative
Recommended publications
  • SPE 112246 Rapid Model Updating with Right-Time Data
    SPE 112246 Rapid Model Updating with Right-Time Data - Ensuring Models Remain Evergreen for Improved Reservoir Management Stephen J. Webb, David E. Revus, Angela M. Myhre, Roxar, Nigel H. Goodwin, K. Neil B. Dunlop, John R. Heritage, Energy Scitech Ltd. Copyright 2008, Society of Petroleum Engineers evergreen and providing the most up-to-date basis for the This paper was prepared for presentation at the 2008 SPE Intelligent Energy Conference making of important reservoir management decisions. and Exhibition held in Amsterdam, The Netherlands, 25–27 February 2008. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper Introduction have not been reviewed by the Society of Petroleum Engineers and are subject to Since the early days of reservoir simulation, history correction by the author(s). The material does not necessarily reflect any position of the 1 Society of Petroleum Engineers, its officers, or members. Electronic reproduction, matching has been identified as one of the best methods distribution, or storage of any part of this paper without the written consent of the Society of Petroleum Engineers is prohibited. Permission to reproduce in print is restricted to an of validating a reservoir model’s predictive capabilities. abstract of not more than 300 words; illustrations may not be copied. The abstract must Often long periods of time have been spent adjusting the contain conspicuous acknowledgment of SPE copyright. reservoir description so that the reservoir simulator’s calculated results match the observed data from the reservoir.
    [Show full text]
  • Reservoir Simulation-Based Modeling for Characterizing Longwall Methane Emissions and Gob Gas Venthole Production
    Reservoir simulation-based modeling for characterizing longwall methane emissions and gob gas venthole production C.O. Karacan , G.S. Esterhuizen, S.J. Schatzel, W.P. Diamond National Institute for Occupational Safety and Health (NIOSH), PiPinsburgh Research Laboratory, United States Abstract Longwall mining alters the fluid-flow-related reservoir properties of the rocks overlying and underlying an extracted panel due to fracturing and relaxation of the strata. These mining-related disturbances create new pressure depletion zones and new flow paths for gas migration and may cause unexpected or uncontrolled migration ofgas into the underground workplace. One common technique to control methane emissions in longwall mines is to drill vertical gob gas ventholes into each longwall panel to capture the methane within the overlying fractured strata before it enters the work environment. Thus, it is important to optimize the well parameters, e.g., the borehole diameter, and the length and position of the slotted casing interval relative to the hctured gas-bearing zones. This paper presents the development and results of a comprehensive, "dynamic," three-dimensional reservoir model of a typical multipanel Pittsburgh coalbed longwall mine. The alteration of permeability fields in and above the panels as a result of the mining- induced disturbances has been estimated from mechanical modeling of the overlying rock mass. Model calibration was performed through history matching the gas production &om gob gas ventholes in the study area. Results presented in this paper include a simulation of gas flow patterns from the gas-bearing zones in the overlying strata to the mine environment, as well as the influence of completion practices on optimizing gas production from gob gas ventholes.
    [Show full text]
  • Hydrocarbon Reservoir Modeling: Comparison Between Theoretical and Real Petrophysical Properties from the Namorado Field (Brazil) Case Study
    Hydrocarbon reservoir modeling: comparison between theoretical and real petrophysical properties from the Namorado Field (Brazil) case study. Hashimoto, Marcos Deguti, Student from the Master in Oil Engineering E-mail: [email protected] 1. Abstract In reservoir characterization and modeling, due to information-acquisition’s high costs, frequently only indirect measurements of the subsurface properties such as seismic reflection data is available. In the worst-case scenario, only regional geological information is at disposal. In an attempt to provide deeper insights over the study area, with low costs, modeling synthetic reservoirs has been a reliable tool to better characterize reservoir/prospects. In this work two synthetic hydrocarbons reservoirs were modelled recurring to two different approaches to characterize Earth’s subsurface petrophysical (facies, porosity and permeability) and elastic (P-wave, S-wave and density) properties. In the second half of 2013, during the IST (Instituto Superior Técnico) Internship, a synthetic reservoir was conceived and modeled using Namorado Field’s (Campos Basin, Rio de Janeiro, Brazil) as reference. During this intern public data, knowledge, papers, books and dissertations were gathered. In order to validate and certify this outcome, a new synthetic reservoir was proposed, but this time using real data for this field provided by the Brazilian Oil & Gas Agency (ANP). This dissertation addresses the comparison between the theoretical and real synthetic reservoir results, validating the first reservoir step-by-step. The major conclusion reached confirms that the theoretical synthetic reservoir outputs reliable results, however with caution in some of the modelled properties. Keywords: Hydrocarbon synthetic reservoir, Reservoir Modeling, Rock Physics Model, Petrophysical properties, Namorado Field, Campos Basin (Brazil).
    [Show full text]
  • Confirmation of Data-Driven Reservoir Modeling Using Numerical Reservoir Simulation
    Graduate Theses, Dissertations, and Problem Reports 2019 CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION Al Hasan Mohamed Al Haifi [email protected] Follow this and additional works at: https://researchrepository.wvu.edu/etd Part of the Petroleum Engineering Commons Recommended Citation Al Haifi, Al Hasan Mohamed, "CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION" (2019). Graduate Theses, Dissertations, and Problem Reports. 3835. https://researchrepository.wvu.edu/etd/3835 This Thesis is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION Al Hasan Mohamed Mohamed Al Haifi Thesis submitted to the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University in partial fulfillment of the requirements
    [Show full text]
  • Techniques for Modeling Complex Reservoirs and Advanced Wells
    TECHNIQUES FOR MODELING COMPLEX RESERVOIRS AND ADVANCED WELLS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ENERGY RESOURCES ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Yuanlin Jiang December 2007 °c Copyright by Yuanlin Jiang 2008 All Rights Reserved ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Hamdi Tchelepi Principal Advisor I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Khalid Aziz Advisor I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Roland Horne Approved for the University Committee on Graduate Studies. iii Abstract The development of a general-purpose reservoir simulation framework for coupled systems of unstructured reservoir models and advanced wells is the subject of this dissertation. Stanford's General Purpose Research Simulator (GPRS) serves as the base for the new framework. In this work, we made signi¯cant contributions to GPRS, in terms of architectural design, extensibility, computational e±ciency, and new advanced well modeling capabilities. We designed and implemented a new architectural framework, in which the fa- cilities (man-made) model is treated as a separate component and promoted to the same level as the reservoir (natural) component.
    [Show full text]
  • Subsea Sampling Systems MARS Multiple Application Reinjection System Configurations
    Subsea Sampling Systems MARS multiple application reinjection system configurations APPLICATIONS Almost all technical and economic studies in the oil industry require an understanding of the reservoir ■ Production monitoring fluids. MARS* multiple application reinjection system sampling technology enables the capture of ■ Reservoir modeling and management a representative, uncontaminated sample from multiphase flow, in which the sample has the same molecules in the same proportions as the flow at the sampling point where all three phases are ■ Flow assurance in equilibrium. ■ Well intervention ■ Each phase is enriched and captured individually to collect sufficient volume of sample from ■ Subsea processing strategically chosen phase-rich sampling points. ■ EOR ■ No pressure or temperature drop should occur during sampling to maintain equilibrium BENEFITS between phases. ■ Enables representative subsea sampling ■ Each phase is captured and physically or mathematically recombined for reservoir fluids properties. throughout life of field ■ Mitigates risk and enhances flow assurance management ■ Optimizes multiphase flowmeter calibration and performance ■ Increases production and recovery rates ■ Reduces capex FEATURES ■ Flexibility for integration into subsea hardware and for various sampling applications ■ Three-phase representative sampling from multiple wells in a single dive ■ Phase detection and enrichment ■ Complete chain of custody throughout sample journey ■ Proven technology ■ Ideal solution for greenfield architecture ■ Retrofit
    [Show full text]
  • Chapter 6 Static Reservoir Model
    CHAPTER 6. STATIC RESERVOIR MODEL Martin K. Dubois, Geoffrey C. Bohling, and Alan P. Byrnes For detailed documentation on the construction of the static model see digital appendix: Geomod4_build INTRODUCTION Building an accurate static model for the entire Hugoton field (Hugoton and Panoma in Kansas and Guymon-Hugoton in Oklahoma) was the primary objective in the Hugoton Asset Management Project (HAMP). The goal was to develop a model with sufficient detail to represent vertical and lateral heterogeneity at the well, multi-well, and field scale, which could be used as a tool for reservoir management. This required that the model be finely layered (169 layers, 3-ft (1 m) average thickness), and have relatively small XY cell dimensions (660x660 ft, 200x200m; 64 cells per mi2). These criteria resulted in development of a 108-million cell model for the 10,000-mi2 (26,000-km2) area modeled. Although lithofacies geo-bodies tend to be laterally extensive, covering multi- section to township scales, small XY-cell dimensions were required to allow the extraction of portions of the model for local reservoir simulation. The Hugoton geomodel may be the largest model of its kind (lithofacies-controlled, property-based water saturations), and the workflow illustrates how very large models can be built. The simplified workflow presented in Figure 6.1 might be interpreted to indicate that the workflow process was linear; however, it is important to note there are multiple feedback loops at varying scales (with each step, between adjacent steps, and involving multiple steps). In addition, there were multiple iterations in the workflow at scales from individual steps to the model scale.
    [Show full text]
  • 2013 Annual Report Schlumberger Limited Profile
    2013 Annual Report Schlumberger Limited Profile Schlumberger is the world’s leading supplier of technology, Throughout this report you integrated project management, and information solutions to will see QR Codes similar to the international oil and gas exploration and production industry. the one to the left. Scan the The company employs 123,000 people of over 140 nationalities codes with your mobile working in approximately 85 countries. Schlumberger supplies device to view the multimedia a wide range of products and services, from seismic acquisition version of this report. and processing; drill bits and drilling fluids; directional drilling and drilling services; formation evaluation and well testing; to well cementing and stimulation; artificial lift, well completions and well intervention; and consulting, software, and information management. Financial Performance (Stated in millions, except per-share amounts) Year ended December 31 2013 2012 2011 Revenue $ 45,266 $ 41,731 $ 36,579 Income from continuing operations $ 6,801 $ 5,230 $ 4,516 Diluted earnings-per-share from continuing operations $ 5.10 $ 3.91 $ 3.32 Cash dividends per share $ 1.25 $ 1.10 $ 1.00 Net debt $ 4,443 $ 5,111 $ 4,850 Safety and Environmental Performance Combined Lost Time Injury Frequency (CLTIF)— Industry Recognized (OGP) † 1.2 1.3 1.4 Auto Accident Rate mile (AARm)—Industry Recognized † 0.24 0.36 0.39 Tonnes of CO 2 per employee per year 15 17 15 Total Scope 1 CO 2 emissions (million tons) 1.8 2.0 1.7 † Safety performance figures for 2011 do not include data from Smith International and Geoservices. In This Report Inside Front Cover Financial Performance Front Cover Safety and Environmental Performance Field Test Coordinator Jonathan Leonard and Senior Mechanical Technician Stacy Johnson handle a Saturn* Page 1 Letter to Shareholders 3D radial probe on a test rig in Sugar Land, Texas, USA.
    [Show full text]
  • Data-Driven Modeling and Prediction for Reservoir Characterization and Simulation Using Seismic and Petrophysical Data Analyses
    Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School June 2020 Data-Driven Modeling and Prediction for Reservoir Characterization and Simulation Using Seismic and Petrophysical Data Analyses Xu Zhou Louisiana State University and Agricultural and Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Petroleum Engineering Commons Recommended Citation Zhou, Xu, "Data-Driven Modeling and Prediction for Reservoir Characterization and Simulation Using Seismic and Petrophysical Data Analyses" (2020). LSU Doctoral Dissertations. 5276. https://digitalcommons.lsu.edu/gradschool_dissertations/5276 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. DATA-DRIVEN MODELING AND PREDICTION FOR RESERVOIR CHARACTERIZATION AND SIMULATION USING SEISMIC AND PETROPHYSICAL DATA ANALYSES A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Craft & Hawkins Department of Petroleum Engineering by Xu Zhou B.S., China University of Petroleum - Beijing, 2012 M.S., Tulane University, 2015 August 2020 Acknowledgements I would like to thank my advisor Dr. Mayank Tyagi for his instructions and support in this dissertation. I sincerely appreciate the guidance and help from him in advising me to finish this study. He has been very encouraging, inspiring, and patient throughout my time during my Ph.D. study and research. This dissertation won’t be possible without the guidance and instruction from him.
    [Show full text]
  • A Fully Integrated, Multi-Scenario Approach Monica Miley, Amelie Dufournet, Jose Villa, Tonia Arriola, Anadarko Petroleum Corporation; Mark Bentley, AGR-TRACS
    Reservoir Modeling of a Deep-Water West African Reservoir: A Fully Integrated, Multi-Scenario Approach Monica Miley, Amelie Dufournet, Jose Villa, Tonia Arriola, Anadarko Petroleum Corporation; Mark Bentley, AGR-TRACS Introduction In the early stages of field development, there is a high degree of uncertainty in reservoir description. Creating a range of reservoir models allows proper assessment of reservoir uncertainties in a more rigorous way than using a single base case model. This is crucial in fields with significant geologic and production complexities where new in-fill wells are drilled to accelerate production, increase reserves and maximize oil recovery. This case study demonstrates the application of a decision tree-based methodology to model multiple uncertainties for an off-shore field in West Africa. The goal was to understand which uncertainties have the most significant impact on fluid flow and create several dynamically tested reservoir models to represent them. Models were created quickly over a small sector area. Initial dynamic simulations provided feedback that improved the seismic interpretation and static model construction for subsequent iterations. An integrated team composed of a geophysicist, geomodeler, and simulation engineer were able to produce a set of geologically plausible, dynamically tested full field models. Background The subject of this study, the Enyenra field, is part of theTweneboa-Enyenra-Ntomme (TEN) complex of fields. It is located in the Tano sub-basin of the Deep Ivorian Basin between the Romanche and St. Paul fracture zones. Basement-rooted extensional faulting created accommodation space for deepwater deposition. During the Turonian, sediments comprising the Enyenra reservoir were shed from the Tano high and deposited in the lower to middle slope as a series of aggradational levee-confined channel complexes.
    [Show full text]
  • 3D Reservoir Geological Modeling Algorithm Based on a Deep
    energies Article 3D Reservoir Geological Modeling Algorithm Based on a Deep Feedforward Neural Network: A Case Study of the Delta Reservoir of Upper Urho Formation in the X Area of Karamay, Xinjiang, China Jianpeng Yao 1, Qingbin Liu 1, Wenling Liu 2, Yuyang Liu 1,2 , Xiaodong Chen 3 and Mao Pan 1,* 1 The Key Laboratory of Orogenic Belts and Crustal Evolution, School of Earth and Space Sciences, Peking University, Beijing 100871, China; [email protected] (J.Y.); [email protected] (Q.L.); [email protected] (Y.L.) 2 Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China; [email protected] 3 Exploration and Development Research Institute of Changqing Oilfield Branch Company Ltd., PetroChina, Xi’an 710018, China; [email protected] * Correspondence: [email protected] Received: 4 November 2020; Accepted: 16 December 2020; Published: 18 December 2020 Abstract: Three-dimensional (3D) reservoir geological modeling is an advanced reservoir characterization method, which runs through the exploration and the development process of oil and gas fields. Reservoir geological modeling is playing an increasingly significant role in determining the distribution, internal configuration, and quality of a reservoir as well. Conventional variogram-based methods such as statistical interpolation and reservoir geological modeling have difficulty characterizing complex reservoir geometries and heterogeneous reservoir properties. Taking advantage of deep feedforward neural networks (DFNNs) in nonlinear fitting, this paper compares the reservoir geological modeling results of different methods on the basis of an existing lithofacies model and seismic data from the X area of Karamay, Xinjiang, China. Adopted reservoir geological modeling methods include conventional sequential Gaussian simulation and DFNN-based reservoir geological modeling method.
    [Show full text]
  • Static Modeling of the Reservoir for Estimate Oil in Place Using the Geostatistical Method
    Geodesy and Cartography ISSN 2029-6991 / eISSN 2029-7009 2019 Volume 45 Issue 4: 147–153 https://doi.org/10.3846/gac.2019.10386 UDK 528.48 STATIC MODELING OF THE RESERVOIR FOR ESTIMATE OIL IN PLACE USING THE GEOSTATISTICAL METHOD Hakimeh AMANIPOOR* Department of Geology, Faculty of Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran Received 24 May 2019; accepted 22 November 2019 Abstract. Three-dimensional simulation using geostatistical methods in terms of the possibility of creating multiple reali- zations of the reservoir, in which heterogeneities and range of variables changes are well represented, is one of the most efficient methods to describe the reservoir and to prepare a 3D model of it and the results have been used as acceptable results in the calculations due to the high accuracy and the lack of smoothing effect in small changes compared to the re- sults of Kriging estimation. The initial volumetric tests of the Hendijan reservoir in southern Iran were carried out according to the construction model and the petrophysical model prepared by the software and according to the fluid contact levels, and the ratio of net thickness to total thickness in different reservoir zones. The calculations can be distinguished based on the zoning of the reservoir and also on the basis of type of facies. Accordingly, the average volume of fluid in place of the field is calculated in different horizons. The results of the simulation showed that the Ghar reservoir rock has gas and Sarvak Reservoir has the largest amount of oil in place.
    [Show full text]