Assisted History Matching for Unconventional Reservoirs

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  • Author : Sutthaporn Tripoppoom
  • Publisher : Gulf Professional Publishing
  • Pages : 330 pages
  • ISBN : 0128222433
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Assisted History Matching for Unconventional Reservoirs

Download or Read online Assisted History Matching for Unconventional Reservoirs full in PDF, ePub and kindle. this book written by Sutthaporn Tripoppoom and published by Gulf Professional Publishing which was released on 01 August 2021 with total page 330 pages. We cannot guarantee that Assisted History Matching for Unconventional Reservoirs book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 for Unconventional Reservoirs

Assisted History Matching for Unconventional Reservoirs
  • Author : Sutthaporn Tripoppoom,Wei Yu,Kamy Sepehrnoori,Jijun Miao
  • Publisher : Gulf Professional Publishing
  • Release : 01 August 2021
GET THIS BOOK Assisted History Matching for Unconventional Reservoirs

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

Assisted History Matching Workflow for Unconventional Reservoirs

Assisted History Matching Workflow for Unconventional Reservoirs
  • Author : Sutthaporn Tripoppoom
  • Publisher : Unknown
  • Release : 18 May 2021
GET THIS BOOK Assisted History Matching Workflow for Unconventional Reservoirs

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

Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs

Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs
  • Author : Jianchao Cai,Xiangyun Hu
  • Publisher : Elsevier
  • Release : 24 January 2019
GET THIS BOOK Petrophysical Characterization and Fluids Transport in Unconventional Reservoirs

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

Uncertainty Quantification of Unconventional Reservoirs Using Assisted History Matching Methods

Uncertainty Quantification of Unconventional Reservoirs Using Assisted History Matching Methods
  • Author : Esmail Mohamed Khalil Eltahan
  • Publisher : Unknown
  • Release : 18 May 2021
GET THIS BOOK Uncertainty Quantification of Unconventional Reservoirs Using Assisted History Matching Methods

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:

Shale Gas and Tight Oil Reservoir Simulation

Shale Gas and Tight Oil Reservoir Simulation
  • Author : Wei Yu,Kamy Sepehrnoori
  • Publisher : Gulf Professional Publishing
  • Release : 10 August 2018
GET THIS BOOK Shale Gas and Tight Oil Reservoir Simulation

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

Intelligent Digital Oil and Gas Fields

Intelligent Digital Oil and Gas Fields
  • Author : Gustavo Carvajal,Marko Maucec,Stan Cullick
  • Publisher : Gulf Professional Publishing
  • Release : 14 December 2017
GET THIS BOOK Intelligent Digital Oil and Gas Fields

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

Data Driven Analytics for the Geological Storage of CO2

Data Driven Analytics for the Geological Storage of CO2
  • Author : Shahab Mohaghegh
  • Publisher : CRC Press
  • Release : 20 May 2018
GET THIS BOOK Data Driven Analytics for the Geological Storage of CO2

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

Proceedings of the International Field Exploration and Development Conference 2018

Proceedings of the International Field Exploration and Development Conference 2018
  • Author : Jia'en Lin
  • Publisher : Springer Nature
  • Release : 02 October 2019
GET THIS BOOK Proceedings of the International Field Exploration and Development Conference 2018

This book gathers selected papers from the 8th International Field Exploration and Development Conference (IFEDC 2018) and addresses a broad range of topics, including: Reservoir Surveillance and Management, Reservoir Evaluation and Dynamic Description, Reservoir Production Stimulation and EOR, Ultra-Tight Reservoirs, Unconventional Oil and Gas Resources Technology, Oil and Gas Well Production Testing, and Geomechanics. In brief, the papers introduce readers to upstream technologies used in oil & gas development, the main principles of the process, and various related design technologies. The conference

ICIPEG 2016

ICIPEG 2016
  • Author : Mariyamni Awang,Berihun Mamo Negash,Nur Asyraf Md Akhir,Luluan Almanna Lubis,Abdul Ghani Md. Rafek
  • Publisher : Springer
  • Release : 20 January 2017
GET THIS BOOK ICIPEG 2016

This book presents the proceedings of the 4th International Conference on Integrated Petroleum Engineering and Geosciences 2016 (ICIPEG 2016), held under the banner of World Engineering, Science & Technology Congress (ESTCON 2016) at Kuala Lumpur Convention Centre from August 15 to 17, 2016. It presents peer-reviewed research articles on exploration, while also exploring a new area: shale research. In this time of low oil prices, it highlights findings to maintain the exchange of knowledge between researchers, serving as a vital bridge-builder between engineers, geoscientists, academics, and industry.