Download or read book Demonstration of a Novel Integrated Multi Scale Procedure for High Resolution 3D Reservoir Characterization and Improved CO2 EOR written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of this project was to demonstrate a new and novel approach for high resolution, 3D reservoir characterization that can enable better management of CO2 enhanced oil recovery (EOR) projects and, looking to the future, carbon sequestration projects. The approach adopted has been the subject of previous research by the DOE and others, and relies primarily upon data-mining and advanced pattern recognition approaches. This approach honors all reservoir characterization data collected, but accepts that our understanding of how these measurements relate to the information of most interest, such as how porosity and permeability vary over a reservoir volume, is imperfect. Ideally the data needed for such an approach includes surface seismic to provide the greatest amount of data over the entire reservoir volume of interest, crosswell seismic to fill the resolution gap between surface seismic and wellbore-scale measurements, geophysical well logs to provide the vertical resolution sought, and core data to provide the tie to the information of most interest. These data are combined via a series of one or more relational models to enable, in its most successful application, the prediction of porosity and permeability on a vertical resolution similar to logs at each surface seismic trace location. In this project, the procedure was applied to the giant (and highly complex) SACROC unit of the Permian basin in West Texas, one of the world's largest CO2-EOR projects and a potentially world-class geologic sequestration site. Due to operational scheduling considerations on the part of the operator of the field, the crosswell data was not obtained during the period of project performance (it is currently being collected however as part of another DOE project). This compromised the utility of the surface seismic data for the project due to the resolution gap between it and the geophysical well logs. An alternative approach was adopted that utilized a relational model to predict porosity and permeability profiles from well logs at each well location, and a 3D geostatistical variogram to generate the reservoir characterization over the reservoir volume of interest. A reservoir simulation model was built based upon this characterization and history-matched without making significant changes to it, thus validating the procedure. While not the same procedure as originally planned, the procedure ultimately employed proved successful and demonstrated that the general concepts proposed (i.e., data mining and advanced pattern recognition methods) have the flexibility to achieve the reservoir characterization objectives sought even with imperfect or incomplete data.
Download or read book Reservoir Model Design written by Philip Ringrose and published by Springer Nature. This book was released on 2021-06-09 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, and for a range of fluid systems – oil, gas and CO2, production and injection, and effects of different mobility ratios. The intimate relationship between geology and fluid flow is explored throughout, showing how the impact of fluid type, displacement mechanism and the subtleties of single- and multi-phase flow combine to influence reservoir model design. The second edition updates the existing sections and adds sections on the following topics: · A new chapter on modelling for CO2 storage · A new chapter on modelling workflows · An extended chapter on fractured reservoir modelling · An extended chapter on multi-scale modelling · An extended chapter on the quantification of uncertainty · A revised section on the future of modelling based on recently published papers by the authors The main audience for this book is the community of applied geoscientists and engineers involved in understanding fluid flow in the subsurface: whether for the extraction of oil or gas or the injection of CO2 or the subsurface storage of energy in general. We will always need to understand how fluids move in the subsurface and we will always require skills to model these quantitatively. The second edition of this reference book therefore aims to highlight the modelling skills developed for the current energy industry which will also be required for the energy transition of the future. The book is aimed at technical-professional practitioners in the energy industry and is also 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, fluid flow and uncertainty handling • Encompasses clastic, carbonate and fractured reservoirs • Applies to multi-fluid cases and applications: hydrocarbons and CO2, production and storage; rewritten for use in the Energy Transition.
Download or read book Applied Techniques to Integrated Oil and Gas Reservoir Characterization written by Enwenode Onajite and published by Elsevier. This book was released on 2021-04-14 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Techniques to Integrated Oil and Gas Reservoir Characterization: A Problem-Solution Discussion with Experts presents challenging questions encountered by geoscientists in their day-to-day work in the exploration and development of oil and gas fields and provides potential solutions from experts working in the field. Covers Amplitude Versus Offset (AVO), well-to-seismic tie, phase of seismic data, seismic inversion studies, pore pressure prediction, rock physics and exploration geological. The text examines challenges in the industry as well as the solutions and techniques used to overcome those challenges. Over the past several years there has been a growing integration of geophysical, geological, and reservoir engineering, production and petrophysical data to predict and determine reservoir properties. This includes reservoir extent and sand development away from the well bore, as well as in unpenetrated prospects, leading to optimization planning for field development. As such, geoscientists now must learn the technology, processes and challenges involved within their specific functions in order to complete day-to-day activities. Presents a thorough understanding of the requirements and issues of various disciplines in characterizing a wide spectrum of reservoirs Includes real-life problems and challenging questions encountered by geoscientists in their day-to-day work, along with answers from experts working in the field Provides an integrated approach among different disciplines (geology, geophysics, petrophysics, and petroleum engineering)
Download or read book Integrated Reservoir Characterization in Delhi Field Louisiana written by Tingting Chen and published by . This book was released on 2018 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reservoir Characterization II written by Larry W. Lake and published by Academic Press. This book was released on 1991-04-28 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for petroleum engineers, geologists and hydrologists, this book provides a detailed survey of the current practices, problems, research and trends in the field of reservoir characterization. Topics discussed include mesoscopic, macroscopic and megascopic scales.
Download or read book Integrated Reservoir Characterization Using Nonparametric Regression and Multiscale Markov Random Fields written by Sang Heon Lee and published by . This book was released on 2000 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reservoir Characterization Modeling and Quantitative Interpretation written by Shib Sankar Ganguli and published by Elsevier. This book was released on 2023-10-27 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies offers a wide spectrum of reservoir characterization techniques and technologies, focusing on the latest breakthroughs and most efficient methodologies in hydrocarbon exploration and development. Topics covered include 4D seismic technologies, AVAz inversion, fracture characterization, multiscale imaging technologies, static and dynamic reservoir characterization, among others. The content is delivered through an inductive approach, which will help readers gain comprehensive insights on advanced practices and be able to relate them to other subareas of reservoir characterization, including CO2 storage and data-driven modeling. This will be especially useful for field scientists in collecting and analyzing field data, prospect evaluation, developing reservoir models, and adopting new technologies to mitigate exploration risk. They will be able to solve the practical and challenging problems faced in the field of reservoir characterization, as it will offer systematic industrial workflows covering every aspect of this branch of Earth Science, including subsurface geoscientific perspectives of carbon geosequestration. This resource is a 21st Century guide for exploration geologists, geoscience students at postgraduate level and above, and petrophysicists working in the oil and gas industry. Covers the latest and most effective technologies in reservoir characterization, including Avo analysis, AVAz inversion, wave field separation and Machine Learning techniques Provides a balanced blend of both theoretical and practical approaches for solving challenges in reservoir characterization Includes detailed industry-standard practical workflows, along with code structures for algorithms and practice exercises
Download or read book Reservoir Characterization written by and published by . This book was released on 19?? with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comprehensive Practice of Exploration and Evaluation Techniques in Complex Reservoirs written by Xiaodong Cheng and published by Springer. This book was released on 2019-05-15 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers exploration and evaluation practices for various types of complex reservoirs, and summarizes a series of practical and effective techniques and methods. For example, it shows how, by integrating multiple types of new logging technology, complex reservoir petrophysics evaluation can be performed using high-precision core experiment data and quantitative logging interpretation; and demonstrates how the technology of sporopollen assemblage and palynofacies analysis can improve the time precision of sequence stratigraphy and the quantitative study level of sedimentary facies, respectively. It discusses how reservoir lateral prediction and vertical resolution can be substantially improved by integrating fracture prediction and geostatistical inversion; and presents innovative log interpretation charts for the lithological identification of metamorphic rocks, e.g. GR-DEN crossplot and Impedance-Resistivity crossplot. To support the main content, the book features a wealth of high-resolution, thin- section images, quantitative illustrations of palynofacies composition, multi-property overlapping map set and quantitative tables. It offers an essential reference guide for researchers in geological exploration and evaluation, and will also appeal to a broad readership, from engineering technicians to advanced graduate students in related areas.
Download or read book Reservoir Characterization for the CO2 Enhanced Oil Recovery Process written by Franklin M. Orr and published by . This book was released on 1989 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book DEVELOPMENT OF AN ADVANCED APPROACH FOR NEXT GENERATION INTEGRATED RESERVOIR CHARACTERIZATION written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate, high-resolution, three-dimensional (3D) reservoir characterization can provide substantial benefits for effective oilfield management. By doing so, the predictive reliability of reservoir flow models, which are routinely used as the basis for investment decisions involving hundreds of millions of dollars and designed to recover millions of barrels of oil, can be significantly improved. Even a small improvement in incremental recovery for high-value assets can result in important contributions to bottom-line profitability. Today's standard practice for developing a 3D reservoir description is to use seismic inversion techniques. These techniques make use of geostatistics and other stochastic methods to solve the inverse problem, i.e., to iteratively construct a likely geologic model and then upscale and compare its acoustic response to that actually observed in the field. This method has several inherent flaws, such as: (1) The resulting models are highly non-unique; multiple equiprobable realizations are produced, meaning (2) The results define a distribution of possible outcomes; the best they can do is quantify the uncertainty inherent in the modeling process, and (3) Each realization must be run through a flow simulator and history matched to assess it's appropriateness, and therefore (4) The method is labor intensive and requires significant time to complete a field study; thus it is applied to only a small percentage of oil and gas producing assets. A new approach to achieve this objective was first examined in a Department of Energy (DOE) study performed by Advanced Resources International (ARI) in 2000/2001. The goal of that study was to evaluate whether robust relationships between data at vastly different scales of measurement could be established using virtual intelligence (VI) methods. The proposed workflow required that three specific relationships be established through use of artificial neural networks (ANN's): core-to-log, log-to-crosswell seismic, and crosswell-to-surface seismic. One of the key attributes of the approach, which should result in the creation of high resolution reservoir characterization with greater accuracy and with less uncertainty than today's methods, is the inclusion of borehole seismic (such as crosswell and/or vertical seismic profiling--VSP) in the data collection scheme. Borehole seismic fills a critical gap in the resolution spectrum of reservoir measurements between the well log and surface seismic scales, thus establishing important constraints on characterization outcomes. The results of that initial study showed that it is, in fact, feasible to establish the three critical relationships required, and that use of data at different scales of measurement to create high-resolution reservoir characterization is possible. Based on the results of this feasibility study, in September 2001, the DOE, again through ARI, launched a subsequent two-year government-industry R & D project to further develop and demonstrate the technology. The goals of this project were to: (1) Make improvements to the initial methodology by incorporating additional VI technologies (such as clustering), using core measurements in place of magnetic resonance image (MRI) logs, and streamlining the workflow, among others. (2) Demonstrate the approach in an integrated manner at a single field site, and validate it via reservoir modeling or other statistical methods.
Download or read book Data Integration Into High Resolution Reservoir Models Using Geostatistics and Multiscale Markov Random Fields written by Adel Hussain Malallah and published by . This book was released on 2001 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Introduction to Reservoir Simulation Using MATLAB GNU Octave written by Knut-Andreas Lie and published by Cambridge University Press. This book was released on 2019-08-08 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.
Download or read book Streamline Based Transport Tomography and History Matching for Three Phase Flow written by Dongjae Kam and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Reconciling a geological static model to the available dynamic information, known as history matching, is an essential procedure for the decision-making through predictions of fluid displacement in a reservoir. However, there are several challenges in the history matching workflow because the geologic models are becoming complex and more detailed with a large number of grids. Recently, streamline-based inverse modeling has shown great promise for the high resolution geologic model because of many advantages in terms of computational efficiency and applicability. However, the current approach is primarily focused on handling the water-cut and tracer test data. This dissertation presents a novel streamline-based approach to incorporate a variety of dynamic information into the history matching process for the forecasting of reservoir behavior with increased confidence. We first develop the streamline-based transport tomography by incorporating novel tracer technology. The distributed arrival time made available by a novel tracer provides a significantly improved flow resolution for reservoir characterization. We demonstrate the new approach for streamline-based history matching of distributed water arrival time together with aggregated well production data that clearly shows the benefits of the transport tomography using novel tracers. Second, we propose a new methodology to incorporate bottom-hole pressure data into the geologic model using the streamline-based approach. This approach overcomes the limitation of the sequential process used in previous applications by facilitating the joint inversion, while reproducing reservoir energy during the flow rate matching. The joint inversion with a multiscale approach is suggested to account for the disparity in resolution of different types of data. It leads to capturing of the large- and fine-scale heterogeneity and reproducing the pressure and water-cut responses efficiently. Finally, we extend the streamline-based inverse modeling to the three-phase system by adding gas-oil ratio data simultaneously. We validate that the streamline-based analytical sensitivity of the gas-oil ratio can provide reasonable approximations for the purpose of inverse modeling. The Pareto-front concept is introduced for a multiscale multi-objective approach in combination with the streamline approach to overcome the challenges in the streamline-based three-phase joint inversion. In addition to demonstration of the streamline-based history matching method with a variety of dynamic data, we emphasize the applicability of our approach to the field-scale reservoir model to satisfy the industry demands. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/155526
Download or read book Methodology for Constructing High Resolution Three Dimensional Reservoir Characterization Models for Petroleum and Environmental Applications written by Timothy Michael Collins and published by . This book was released on 1996 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Integrated Reservoir Characterization and Modeling in Support of Enhanced Oil Recovery for Bakken written by Basak Kurtoglu and published by . This book was released on 2013 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development of an Advanced Approach for Next Generation High Resolution Integrated Reservoir Characterization written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: During this reporting period work on Task 4: Develop Integrated Engineering Model was completed, incorporating the results from Log Clustering. A series of Topical Reports were prepared on Seismic Data Processing, Rock Physics modeling, Log Clustering, and the Integrated Engineering Model. These Topical Reports have been submitted to the test site field operator for review before submission to NETL staff in Tulsa. Work continues on development of the Broadband Seismic Transform Function.
