Uncertainty Analysis and Reservoir Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Analysis and Reservoir Modeling write by Y. Zee Ma. This book was released on 2011-12-20. Uncertainty Analysis and Reservoir Modeling available in PDF, EPUB and Kindle.
Uncertainty Analysis and Reservoir Modeling
Uncertainty Analysis and Reservoir Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Analysis and Reservoir Modeling write by Y. Zee Ma. This book was released on 2011-12-20. Uncertainty Analysis and Reservoir Modeling available in PDF, EPUB and Kindle.
Reservoir Model Design
Reservoir Model Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reservoir Model Design write by Philip Ringrose. This book was released on 2014-10-03. Reservoir Model Design available in PDF, EPUB and Kindle. This book gives practical advice and ready to use tips on the design and construction of subsurface reservoir models. The design elements cover rock architecture, petrophysical property modelling, multi-scale data integration, upscaling and uncertainty analysis. Philip Ringrose and Mark Bentley share their experience, gained from over a hundred reservoir modelling studies in 25 countries covering clastic, carbonate and fractured reservoir types. The intimate relationship between geology and fluid flow is explored throughout, showing how the impact of fluid type, production mechanism and the subtleties of single- and multi-phase flow combine to influence reservoir model design. Audience: The main audience for this book is the community of applied geoscientists and engineers involved in the development and use of subsurface fluid resources. The book is suitable for a range of Master’s level courses in reservoir characterisation, modelling and engineering. · Provides practical advice and guidelines for users of 3D reservoir modelling packages · Gives advice on reservoir model design for the growing world-wide activity in subsurface reservoir modelling · Covers rock modelling, property modelling, upscaling and uncertainty handling · Encompasses clastic, carbonate and fractured reservoirs
Reservoir Modelling
Reservoir Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reservoir Modelling write by Steve Cannon. This book was released on 2024-06-17. Reservoir Modelling available in PDF, EPUB and Kindle. The essential resource to an integrated approach to reservoir modelling by highlighting both the input of data and the modelling results Reservoir Modelling offers a comprehensive guide to the procedures and workflow for building a 3-D model. Designed to be practical, the principles outlined can be applied to any modelling project regardless of the software used. The author — a noted practitioner in the field — captures the heterogeneity due to structure, stratigraphy and sedimentology that has an impact on flow in the reservoir. This essential guide follows a general workflow from data QC and project management, structural modelling, facies and property modelling to upscaling and the requirements for dynamic modelling. The author discusses structural elements of a model and reviews both seismic interpretation and depth conversion, which are known to contribute most to volumetric uncertainty and shows how large-scale stratigraphic relationships are integrated into the reservoir framework. The text puts the focus on geostatistical modelling of facies and heterogeneities that constrain the distribution of reservoir properties including porosity, permeability and water saturation. In addition, the author discusses the role of uncertainty analysis in the static model and its impact on volumetric estimation. The text also addresses some typical approaches to modelling specific reservoirs through a mix of case studies and illustrative examples and: Offers a practical guide to the use of data to build a successful reservoir model Draws on the latest advances in 3-D modelling software Reviews facies modelling, the different methods and the need for understanding the geological interpretation of cores and logs Presents information on upscaling both the structure and the properties of a fine-scale geological model for dynamic simulation Stresses the importance of an interdisciplinary team-based approach Written for geophysicists, reservoir geologists and petroleum engineers, Reservoir Modelling offers the essential information needed to understand a reservoir for modelling and contains the multidisciplinary nature of a reservoir modelling project.
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling
Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling write by Y. Z. Ma. This book was released on 2019-07-15. Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling available in PDF, EPUB and Kindle. Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.
