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Assisted History Matching For Unconventional Reservoirs

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Assisted History Matching for Unconventional Reservoirs

Assisted History Matching for Unconventional Reservoirs Book
Author : Sutthaporn Tripoppoom,Wei Yu,Kamy Sepehrnoori,Jijun Miao
Publisher : Gulf Professional Publishing
Release : 2021-08-05
ISBN : 0128222433
Language : En, Es, Fr & De

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Book Description :

As unconventional reservoir activity grows in demand, reservoir engineers relying on history matching are challenged with this time-consuming task in order to characterize hydraulic fracture and reservoir properties, which are expensive and difficult to obtain. Assisted History Matching for Unconventional Reservoirs delivers a critical tool for today’s engineers proposing an Assisted History Matching (AHM) workflow. The AHM workflow has benefits of quantifying uncertainty without bias or being trapped in any local minima and this reference helps the engineer integrate an efficient and non-intrusive model for fractures that work with any commercial simulator. Additional benefits include various applications of field case studies such as the Marcellus shale play and visuals on the advantages and disadvantages of alternative models. Rounding out with additional references for deeper learning, Assisted History Matching for Unconventional Reservoirs gives reservoir engineers a holistic view on how to model today’s fractures and unconventional reservoirs. Provides understanding on simulations for hydraulic fractures, natural fractures, and shale reservoirs using embedded discrete fracture model (EDFM) Reviews automatic and assisted history matching algorithms including visuals on advantages and limitations of each model Captures data on uncertainties of fractures and reservoir properties for better probabilistic production forecasting and well placement

Assisted History Matching Workflow for Unconventional Reservoirs

Assisted History Matching Workflow for Unconventional Reservoirs Book
Author : Sutthaporn Tripoppoom
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The information of fractures geometry and reservoir properties can be retrieved from the production data, which is always available at no additional cost. However, in unconventional reservoirs, it is insufficient to obtain only one realization because the non-uniqueness of history matching and subsurface uncertainties cannot be captured. Therefore, the objective of this study is to obtain multiple realizations in shale reservoirs by adopting Assisted History Matching (AHM). We used multiple proxy-based Markov Chain Monte Carlo (MCMC) algorithm and Embedded Discrete Fracture Model (EDFM) to perform AHM. The reason is that MCMC has benefits of quantifying uncertainty without bias or being trapped in any local minima. Also, using MCMC with proxy model unlocks the limitation of an infeasible number of simulations required by a traditional MCMC algorithm. For fractures modeling, EDFM can mimic fractures flow behavior with a higher computational efficiency than a traditional local grid refinement (LGR) method and more accuracy than the continuum approach. We applied the AHM workflow to actual shale gas wells. We found that the algorithm can find multiple history matching solutions and quantify the fractures and reservoir properties posterior distributions. Then, we predicted the production probabilistically. Moreover, we investigated the performance of neural network (NN) and k-nearest neighbors (KNN) as a proxy model in the proxy-based MCMC algorithm. We found that NN performed better in term of accuracy than KNN but NN required twice running time of KNN. Lastly, we studied the effect of enhanced permeability area (EPA) and natural fractures existence on the history matching solutions and production forecast. We concluded that we would over-predict fracture geometries and properties and estimated ultimate recovery (EUR) if we assumed no EPA or no natural fractures even though they actually existed. The degree of over-prediction depends on fractures and reservoir properties, EPA and natural fractures properties, which can only be quantified after performing AHM. The benefits from this study are that we can characterize fractures geometry, reservoir properties, and natural fractures in a probabilistic manner. These multiple realizations can be further used for a probabilistic production forecast, future fracturing design improvement, and infill well placement decision

Uncertainty Quantification of Unconventional Reservoirs Using Assisted History Matching Methods

Uncertainty Quantification of Unconventional Reservoirs Using Assisted History Matching Methods Book
Author : Esmail Mohamed Khalil Eltahan
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

A hallmark of unconventional reservoirs is characterization uncertainty. Assisted History Matching (AHM) methods provide attractive means for uncertainty quantification (UQ), because they yield an ensemble of qualifying models instead of a single candidate. Here we integrate embedded discrete fracture model (EDFM), one of fractured-reservoirs modeling techniques, with a commercial AHM and optimization tool. We develop a new parameterization scheme that allows for altering individual properties of multiple wells or fracture groups. The reservoir is divided into three types of regions: formation matrix; EDFM fracture groups; and stimulated rock volume (SRV) around fracture groups. The method is developed in a sleek, stand-alone form and is composed of four main steps: (1) reading parameters exported by tool; (2) generating an EDFM instance; (3) running the instance on a simulator; and (4) calculating a pre-defined objective function. We present two applications. First, we test the method on a hypothetical case with synthetic production data from two wells. Using 20 history-matching parameters, we compare the performance of five AHM algorithms. Two of which are based on Bayesian approach, two are stochastic particle-swarm optimization (PSO), and one is commercial DECE algorithm. Performance is measured with metrics, such as solutions sample size, total simulation runs, marginal parameter posterior distributions, and distributions of estimated ultimate recovery (EUR). In the second application, we assess the effect of natural fractures on UQ of a single horizontal well in the middle Bakken. This is achieved by comparing four AHM scenarios with increasingly varying natural-fracture intensity. Results of the first study show that, based on pre-set acceptance criteria, DECE fails to generate any satisfying solutions. Bayesian methods are noticeably superior to PSO, although PSO is capable to generate large number of solutions. PSO tends to be focused on narrow regions of the posteriors and seems to significantly underestimate uncertainty. Bayesian Algorithm I, a method with a proxy-based acceptance/rejection sampler, ranks first in efficiency but evidently underperforms in accuracy. Results from the second study reveal that, even though varying intensity of natural fractures cam significantly alter other model parameters, that appears not to have influence on UQ (or long-term production)

Intelligent Digital Oil and Gas Fields

Intelligent Digital Oil and Gas Fields Book
Author : Gustavo Carvajal,Marko Maucec,Stan Cullick
Publisher : Gulf Professional Publishing
Release : 2017-12-14
ISBN : 012804747X
Language : En, Es, Fr & De

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Book Description :

Intelligent Digital Oil and Gas Fields: Concepts, Collaboration, and Right-time Decisions delivers to the reader a roadmap through the fast-paced changes in the digital oil field landscape of technology in the form of new sensors, well mechanics such as downhole valves, data analytics and models for dealing with a barrage of data, and changes in the way professionals collaborate on decisions. The book introduces the new age of digital oil and gas technology and process components and provides a backdrop to the value and experience industry has achieved from these in the last few years. The book then takes the reader on a journey first at a well level through instrumentation and measurement for real-time data acquisition, and then provides practical information on analytics on the real-time data. Artificial intelligence techniques provide insights from the data. The road then travels to the "integrated asset" by detailing how companies utilize Integrated Asset Models to manage assets (reservoirs) within DOF context. From model to practice, new ways to operate smart wells enable optimizing the asset. Intelligent Digital Oil and Gas Fields is packed with examples and lessons learned from various case studies and provides extensive references for further reading and a final chapter on the "next generation digital oil field," e.g., cloud computing, big data analytics and advances in nanotechnology. This book is a reference that can help managers, engineers, operations, and IT experts understand specifics on how to filter data to create useful information, address analytics, and link workflows across the production value chain enabling teams to make better decisions with a higher degree of certainty and reduced risk. Covers multiple examples and lessons learned from a variety of reservoirs from around the world and production situations Includes techniques on change management and collaboration Delivers real and readily applicable knowledge on technical equipment, workflows and data challenges such as acquisition and quality control that make up the digital oil and gas field solutions of today Describes collaborative systems and ways of working and how companies are transitioning work force to use the technology and making more optimal decisions

Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs

Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs Book
Author : Jianchao Cai,Xiangyun Hu
Publisher : Elsevier
Release : 2019-01-24
ISBN : 0128172894
Language : En, Es, Fr & De

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Book Description :

Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs presents a comprehensive look at these new methods and technologies for the petrophysical characterization of unconventional reservoirs, including recent theoretical advances and modeling on fluids transport in unconventional reservoirs. The book is a valuable tool for geoscientists and engineers working in academia and industry. Many novel technologies and approaches, including petrophysics, multi-scale modelling, rock reconstruction and upscaling approaches are discussed, along with the challenge of the development of unconventional reservoirs and the mechanism of multi-phase/multi-scale flow and transport in these structures. Includes both practical and theoretical research for the characterization of unconventional reservoirs Covers the basic approaches and mechanisms for enhanced recovery techniques in unconventional reservoirs Presents the latest research in the fluid transport processes in unconventional reservoirs

Recent trends in exploration exploitation and processing of petroleum resources

Recent trends in exploration  exploitation and processing of petroleum resources Book
Author : Sukumar Laik
Publisher : Tata McGraw-Hill Education
Release : 2009
ISBN : 9780070077287
Language : En, Es, Fr & De

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Book Description :

Download Recent trends in exploration exploitation and processing of petroleum resources book written by Sukumar Laik, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Embedded Discrete Fracture Modeling and Application in Reservoir Simulation

Embedded Discrete Fracture Modeling and Application in Reservoir Simulation Book
Author : Kamy Sepehrnoori,Yifei Xu,Wei Yu
Publisher : Elsevier
Release : 2020-08-27
ISBN : 0128196882
Language : En, Es, Fr & De

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Book Description :

The development of naturally fractured reservoirs, especially shale gas and tight oil reservoirs, exploded in recent years due to advanced drilling and fracturing techniques. However, complex fracture geometries such as irregular fracture networks and non-planar fractures are often generated, especially in the presence of natural fractures. Accurate modelling of production from reservoirs with such geometries is challenging. Therefore, Embedded Discrete Fracture Modeling and Application in Reservoir Simulation demonstrates how production from reservoirs with complex fracture geometries can be modelled efficiently and effectively. This volume presents a conventional numerical model to handle simple and complex fractures using local grid refinement (LGR) and unstructured gridding. Moreover, it introduces an Embedded Discrete Fracture Model (EDFM) to efficiently deal with complex fractures by dividing the fractures into segments using matrix cell boundaries and creating non-neighboring connections (NNCs). A basic EDFM approach using Cartesian grids and advanced EDFM approach using Corner point and unstructured grids will be covered. Embedded Discrete Fracture Modeling and Application in Reservoir Simulation is an essential reference for anyone interested in performing reservoir simulation of conventional and unconventional fractured reservoirs. Highlights the current state-of-the-art in reservoir simulation of unconventional reservoirs Offers understanding of the impacts of key reservoir properties and complex fractures on well performance Provides case studies to show how to use the EDFM method for different needs

Intelligent Digital Oil and Gas Fields

Intelligent Digital Oil and Gas Fields Book
Author : Gustavo Carvajal,Marko Maucec,Stan Cullick
Publisher : Gulf Professional Publishing
Release : 2017-11-01
ISBN : 9780128046425
Language : En, Es, Fr & De

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Book Description :

Intelligent Digital Oil and Gas Fields: Engineering Concepts, Models, and Implementation focuses on technical equipment and workflows to introduce the concepts of computer analytics, collaboration and change management-all important aspects of the digital oilfield. The book is packed with multiple examples and lessons learned from various budgets, conditions and case studies, creating a reference that can help managers, engineers and key IT experts understand specifics on how to filter data, address analytics, and link workflow across PPT (People Process and Technology), enabling the team to make better informed decisions with a higher degree of certainty and reduced risk. Digital oil fields started as a small and expensive investment but gained popularity quickly to help increase productivity of reservoirs. Today oil and gas companies, both big and small, can utilize this fast-paced technology; however, with data increasing and operating environments and budgets becoming more challenging, petroleum engineers and managers are always pressed to keep up with more complex infrastructures and turn big data into profitable decisions. The book features a list of references for further reading and a look-ahead chapter on the next generation digital oil field, e.g., cloud computing, big data analytics and advances in nanotechnology. The book helps transform engineering workflows and data analytics into successfully delivered oil and gas projects. Covers multiple examples and lessons learned from a variety of reservoir and production budgets, conditions and case studies Includes techniques and training on change management and collaboration including how to plan and present to management on project value Delivers real and readily applicable knowledge on technical equipment, workflows and data challenges such as acquisition and quality control that make up the digital oil field solutions of today

Unconventional Reservoir Rate Transient Analysis

Unconventional Reservoir Rate Transient Analysis Book
Author : Christopher R. Clarkson
Publisher : Gulf Professional Publishing
Release : 2021-06-25
ISBN : 0323901174
Language : En, Es, Fr & De

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Book Description :

Unconventional Reservoir Rate-Transient Analysis: Volume One, Fundamentals, Analysis Methods and Workflow provides a comprehensive review of RTA methods, helping petroleum engineers and geoscientists understand how to confidently apply RTA to tight reservoirs exhibiting single-phase flow of oil and gas. The book provides practitioners with an overview of the basic concepts used in RTA, including flow-regime identification and application of straight-line analysis, type-curve analysis, and model history-matching approaches that are applicable to low-complexity, tight reservoirs exhibiting single-phase flow of oil and gas. Workflow steps are discussed and illustrated in detail for hydraulically fractured vertical wells and multi-fractured horizontal wells. Supported by many real-world field examples, this comprehensive resource supplies today’s petroleum engineers and geoscientists with an overview of RTA methods as applied to tight reservoirs. A companion text, Unconventional Reservoir Rate-Transient Analysis: Volume Two, Application to Complex Reservoirs, Exploration and Development bridges a critical knowledge gap to help practicing petroleum engineers and geoscientists understand how RTA methods can be adopted and applied to today’s unconventional reservoirs. Reviews key concepts and analysis methods used in modern rate-transient analysis (RTA) as applied to low-permeability ("tight") oil and gas reservoirs Provides a workflow for confident derivation of reservoir/hydraulic fracture properties and hydrocarbon-in-place estimates for wells completed in unconventional reservoirs Includes detailed discussions and illustrations of each step of the workflow using field examples

Shale Gas and Tight Oil Reservoir Simulation

Shale Gas and Tight Oil Reservoir Simulation Book
Author : Wei Yu,Kamy Sepehrnoori
Publisher : Gulf Professional Publishing
Release : 2018-08-10
ISBN : 0128138696
Language : En, Es, Fr & De

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Book Description :

Shale Gas and Tight Oil Reservoir Simulation delivers the latest research and applications used to better manage and interpret simulating production from shale gas and tight oil reservoirs. Starting with basic fundamentals, the book then includes real field data that will not only generate reliable reserve estimation, but also predict the effective range of reservoir and fracture properties through multiple history matching solutions. Also included are new insights into the numerical modelling of CO2 injection for enhanced oil recovery in tight oil reservoirs. This information is critical for a better understanding of the impacts of key reservoir properties and complex fractures. Models the well performance of shale gas and tight oil reservoirs with complex fracture geometries Teaches how to perform sensitivity studies, history matching, production forecasts, and economic optimization for shale-gas and tight-oil reservoirs Helps readers investigate data mining techniques, including the introduction of nonparametric smoothing models

A Probabilistic Workflow for Uncertainty Analysis Using a Proxy based Approach Applied to Tight Reservoir Simulation Studies

A Probabilistic Workflow for Uncertainty Analysis Using a Proxy based Approach Applied to Tight Reservoir Simulation Studies Book
Author : Marut Wantawin
Publisher : Unknown
Release : 2016
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Uncertainty associated with reservoir simulation studies should be thoroughly captured during history matching process and adequately explained during production forecasts. Lacking information and limited accuracy of measurements typically cause uncertain reservoir properties in the reservoir simulation models. Unconventional tight reservoirs, for instances, often deal with complex dynamic flow behavior and inexact dimensions of hydraulic fractures that directly affect production estimation. Non-unique history matching solutions on the basis of probabilistic logic are recognized in order to avoid underestimating prediction results. Assisted history matching techniques have been widely proposed in many literature to quantify the uncertainty. However, few applications were done in unconventional reservoirs where some distinct uncertain factors could significantly influence well performance. In this thesis, a probabilistic workflow was developed using proxy-modeling approach to encompass uncertain parameters of unconventional reservoirs and obtain reliable prediction. Proxy-models were constructed by Design of Experiments (DoE) and Response Surface Methodology (RSM). As preliminary screening tools, significant parameters were identified, thus removing those that were insignificant for the reduced dimensions. Furthermore, proxy-models were systematically built to approximate the actual simulation, then sampling algorithms, e.g. Markov Chain Monte Carlo (MCMC) method, successfully estimated probabilistic history matching solutions. An iterative procedure was also introduced to gradually improve the accuracy of proxy-models at the interested region with low history matching errors. The workflow was applied to case studies in Middle Bakken reservoir and Marcellus Shale formation. In addition to estimating misfit function for the errors, proxy-models are also regressed on the simulated quantity of the measurements at various points in time, which is shown to be very useful. This alternative method was utilized in a synthetic tight reservoir model, which analyzed the impact of complex fracture network relative to instantaneous well performance at different stages. The results in this thesis show that the proxy-based approach reasonably provides simplified approximation of actual simulation. Besides, they are very flexible and practical for demonstrating the non-unique history matching solutions and analyzing the probability distributions of complicated reservoir and fracture properties. Ultimately, the developed workflow delivers probabilistic production forecasts with efficient computational requirement.

Data Driven Analytics for the Geological Storage of CO2

Data Driven Analytics for the Geological Storage of CO2 Book
Author : Shahab Mohaghegh
Publisher : CRC Press
Release : 2018-05-20
ISBN : 1315280809
Language : En, Es, Fr & De

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Book Description :

Data-driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from actual case studies, this book demonstrates how smart proxy models can be developed for complex numerical reservoir simulation models. Smart proxy incorporates pattern recognition capabilities of artificial intelligence and machine learning to build smart models that learn the intricacies of physical, mechanical and chemical interactions using precise numerical simulations. This ground breaking technology makes it possible and practical to use high fidelity, complex numerical reservoir simulation models in the design, analysis and optimization of carbon storage in geological formations projects.

Shale Analytics

Shale Analytics Book
Author : Shahab D. Mohaghegh
Publisher : Springer
Release : 2017-02-09
ISBN : 3319487531
Language : En, Es, Fr & De

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Book Description :

This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.

Applications of Data Management and Analysis

Applications of Data Management and Analysis Book
Author : Mohammad Moshirpour,Behrouz H. Far,Reda Alhajj
Publisher : Springer
Release : 2018-10-04
ISBN : 3319958100
Language : En, Es, Fr & De

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Book Description :

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.

Hydraulic Fracturing in Unconventional Reservoirs

Hydraulic Fracturing in Unconventional Reservoirs Book
Author : Hoss Belyadi,Ebrahim Fathi,Fatemeh Belyadi
Publisher : Gulf Professional Publishing
Release : 2019-06-18
ISBN : 0128176660
Language : En, Es, Fr & De

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Book Description :

Hydraulic Fracturing in Unconventional Reservoirs: Theories, Operations, and Economic Analysis, Second Edition, presents the latest operations and applications in all facets of fracturing. Enhanced to include today’s newest technologies, such as machine learning and the monitoring of field performance using pressure and rate transient analysis, this reference gives engineers the full spectrum of information needed to run unconventional field developments. Covering key aspects, including fracture clean-up, expanded material on refracturing, and a discussion on economic analysis in unconventional reservoirs, this book keeps today's petroleum engineers updated on the critical aspects of unconventional activity. Helps readers understand drilling and production technology and operations in shale gas through real-field examples Covers various topics on fractured wells and the exploitation of unconventional hydrocarbons in one complete reference Presents the latest operations and applications in all facets of fracturing

Performance Analysis and Optimization of Well Production in Unconventional Resource Plays

Performance Analysis and Optimization of Well Production in Unconventional Resource Plays Book
Author : Baljit Singh Sehbi
Publisher : Unknown
Release : 2013
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The Unconventional Resource Plays consisting of the lowest tier of resources (large volumes and most difficult to develop) have been the main focus of US domestic activity during recent times. Horizontal well drilling and hydraulic fracturing completion technology have been primarily responsible for this paradigm shift. The concept of drainage volume is being examined using pressure diffusion along streamlines. We use diffusive time of flight to optimize the number of hydraulic fracture stages in horizontal well application for Tight Gas reservoirs. Numerous field case histories are available in literature for optimizing number of hydraulic fracture stages, although the conclusions are case specific. In contrast, a general method is being presented that can be used to augment field experiments necessary to optimize the number of hydraulic fracture stages. The optimization results for the tight gas example are in line with the results from economic analysis. The fluid flow simulation for Naturally Fractured Reservoirs (NFR) is performed by Dual-Permeability or Dual-Porosity formulations. Microseismic data from Barnett Shale well is used to characterize the hydraulic fracture geometry. Sensitivity analysis, uncertainty assessment, manual & computer assisted history matching are integrated to develop a comprehensive workflow for building reliable reservoir simulation models. We demonstrate that incorporating proper physics of flow is the first step in building reliable reservoir simulation models. Lack of proper physics often leads to unreasonable reservoir parameter estimates. The workflow demonstrates reduced non-uniqueness for the inverse history matching problem. The behavior of near-critical fluids in Liquid Rich Shale plays defies the production behavior observed in conventional reservoir systems. In conventional reservoirs an increased gas-oil ratio is observed as flowing bottom-hole pressure is less than the saturation pressure. The production behavior is examined by building a compositional simulation model on an Eagle Ford well. Extremely high pressure drop along the multiple transverse hydraulic fractures and high critical gas saturation are responsible for this production behavior. Integrating pore-scale flow modeling (such as Lattice Boltzmann) to the field-scale reservoir simulation may enable quantifying the effects of high capillary pressure and phase behavior alteration due to confinement in the nano-pore system. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/149482

A Hierarchical History Matching Method and Its Applications

A Hierarchical History Matching Method and Its Applications Book
Author : Jichao Yin
Publisher : Unknown
Release : 2012
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Modern reservoir management typically involves simulations of geological models to predict future recovery estimates, providing the economic assessment of different field development strategies. Integrating reservoir data is a vital step in developing reliable reservoir performance models. Currently, most effective strategies for traditional manual history matching commonly follow a structured approach with a sequence of adjustments from global to regional parameters, followed by local changes in model properties. In contrast, many of the recent automatic history matching methods utilize parameter sensitivities or gradients to directly update the fine-scale reservoir properties, often ignoring geological inconsistency. Therefore, there is need for combining elements of all of these scales in a seamless manner. We present a hierarchical streamline-assisted history matching, with a framework of global-local updates. A probabilistic approach, consisting of design of experiments, response surface methodology and the genetic algorithm, is used to understand the uncertainty in the large-scale static and dynamic parameters. This global update step is followed by a streamline-based model calibration for high resolution reservoir heterogeneity. This local update step assimilates dynamic production data. We apply the genetic global calibration to unconventional shale gas reservoir specifically we include stimulated reservoir volume as a constraint term in the data integration to improve history matching and reduce prediction uncertainty. We introduce a novel approach for efficiently computing well drainage volumes for shale gas wells with multistage fractures and fracture clusters, and we will filter stochastic shale gas reservoir models by comparing the computed drainage volume with the measured SRV within specified confidence limits. Finally, we demonstrate the value of integrating downhole temperature measurements as coarse-scale constraint during streamline-based history matching of dynamic production data. We first derive coarse-scale permeability trends in the reservoir from temperature data. The coarse information are then downscaled into fine scale permeability by sequential Gaussian simulation with block kriging, and updated by local-scale streamline-based history matching. he power and utility of our approaches have been demonstrated using both synthetic and field examples.

JPT Journal of Petroleum Technology

JPT  Journal of Petroleum Technology Book
Author : Anonim
Publisher : Unknown
Release : 2009-07
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download JPT Journal of Petroleum Technology book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

High Performance Simulation Based Optimization

High Performance Simulation Based Optimization Book
Author : Thomas Bartz-Beielstein,Bogdan Filipič,Peter Korošec,El-Ghazali Talbi
Publisher : Springer
Release : 2019-06-01
ISBN : 3030187640
Language : En, Es, Fr & De

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Book Description :

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research. That’s where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.

Energy Technology Roadmaps of Japan

Energy Technology Roadmaps of Japan Book
Author : Yukitaka Kato,Michihisa Koyama,Yasuhiro Fukushima,Takao Nakagaki
Publisher : Springer
Release : 2016-05-30
ISBN : 4431559515
Language : En, Es, Fr & De

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Book Description :

This book, edited by members of the Committee of Future Energy and Social Systems, The Society of Chemical Engineers, Japan, describes energy technology roadmaps for Japan post-Fukushima. In this work, energy technology experts show quantitatively the advantages and disadvantages of major energy technologies with which they are involved, in a unified chapter structure with figures illustrating the technology development perspectives. The future energy vision for Japan together with the pathway is quantitatively discussed, explicitly considering the contributions of individual energy technology by referring to the technology roadmaps. The pathways for future energy vision thus derived will be useful not only for all energy researchers but also for graduate students in the field to grasp the potential of the technologies and future energy system of Japan.