Download or read book Supporting Technology for Enhanced Oil Recovery In situ Combustion Predictive Model written by United States. Department of Energy and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book In situ Combustion Predictive Model written by R. Michael Ray and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Supporting Technology for Enhanced Oil Recovery Chemical Flood Predictive Model written by US Department of Energy and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Supporting Technology for Enhanced Oil Recovery Chemical Flood Predictive Model written by United States. Department of Energy and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Supporting Technology for Enhanced Oil Recovery Polymer Predictive Model written by United States. Department of Energy and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Supporting Technology for Enhanced Oil Recovery Steamflood Predictive Model written by United States. Department of Energy and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Supporting Technology for Enhanced Oil Recovery CO2 Miscible Flood Predictive Model written by United States. Department of Energy and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Energy Research Abstracts written by and published by . This book was released on 1987 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Energy Research Abstracts written by and published by . This book was released on 1992 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semiannual, with semiannual and annual indexes. References to all scientific and technical literature coming from DOE, its laboratories, energy centers, and contractors. Includes all works deriving from DOE, other related government-sponsored information, and foreign nonnuclear information. Arranged under 39 categories, e.g., Biomedical sciences, basic studies; Biomedical sciences, applied studies; Health and safety; and Fusion energy. Entry gives bibliographical information and abstract. Corporate, author, subject, report number indexes.
Download or read book List of BPO Publications written by Bartlesville Project Office and published by . This book was released on 1988 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book List of BETC Publications written by Bartlesville Energy Technology Center and published by . This book was released on 1984 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings written by and published by . This book was released on 1988 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Contracts for Field Projects and Supporting Research on Enhanced Oil Recovery and Improved Drilling Technology written by and published by . This book was released on 1982 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data driven Methods in Laboratory scale Study of Enhanced Oil Recovery written by Timothy Isaac Anderson and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven methods have become ubiquitous across the engineering and applied sciences. In the petroleum sciences, a significant body of work has arisen applying such techniques to modeling and analysis of reservoir-scale data, but laboratory-scale data and applications have received relatively less attention. In this work, we develop data-driven methods for assimilating experimental data from two domains: image-based characterization of shale source rocks and in-situ combustion kinetics modeling. In the first half of this work, we develop methods for modality translation and synthesis of shale images, specifically for reconstructing or synthesizing 3D volumetric data when only 2D training data is available. We propose an experimental and computational workflow applying image translation and super-resolution models to predict destructive shale microscopy images from non-destructive input data. We then propose an approach to regularizing image-to-image models to improve volume reconstruction using only 2D training data. The results show that our models improve the volume prediction in terms of morphological image features and create image volumes suitable for flow simulations. We also propose a fundamentally new approach to synthesizing porous media images. Our approach is based on generative flow models and is the first approach that can generate grayscale and multimodal image data from only 2D training images. We apply this method to synthesizing baseline sandstone and limestone samples, as well as scanning electron microscopy and dual-mode focused ion beam milled scanning electron microscopy and nano-computed tomography images. The synthetic images are similar to the ground truth data in both appearance and morphological descriptors as gauged by Minkowski functionals distributions. In the second half, we develop methods for modeling and upscaling in-situ combustion chemical kinetics. We develop a data-driven model for predicting oxygen consumption during heavy oil combustion directly from laboratory data, and apply this method to simulating combustion kinetics and analyzing heating schedules for ramped temperature oxidation experiments. Our results show that a data-driven model accurately predicts heavy oil oxidation from a relatively small sample of experimental data. We then present a fully-automated parameter estimation and uncertainty quantification approach for in-situ combustion chemical reaction models. Our approach is generalized to any in-situ combustion reaction model and requires no manual history matching or parameter initialization. We apply this parameter calibration workflow to multiple reaction models for two different heavy oil samples. Our results show that reaction schemes can differ significantly in both stoichiometry and kinetics parameters when calibrated to different heavy oil samples. Very different reaction models were shown to provide fits of similar accuracy to the same heavy oil sample. Our results also suggest that it is the number of stages in pseudocomponent cracking, not the number of pseudocomponents or reactions, that most impacts the ability of a reaction model to fit oxidation data for a heavy oil sample. Overall, this work demonstrates the capabilities of using data-driven modeling to expand our characterization capabilities and improve our understanding of enhanced oil recovery processes at the laboratory-scale. It is our hope that the work presented here will enable new directions in nanoscale characterization of shales and upscaling of in-situ combustion chemical reaction models.
Download or read book Efficient Simulation of Thermal Enhanced Oil Recovery Processes written by Zhouyuan Zhu and published by Stanford University. This book was released on 2011 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulating thermal processes is usually computationally expensive because of the complexity of the problem and strong nonlinearities encountered. In this work, we explore novel and efficient simulation techniques to solve thermal enhanced oil recovery problems. We focus on two major topics: the extension of streamline simulation for thermal enhanced oil recovery and the efficient simulation of chemical reaction kinetics as applied to the in-situ combustion process. For thermal streamline simulation, we first study the extension to hot water flood processes, in which we have temperature induced viscosity changes and thermal volume changes. We first compute the pressure field on an Eulerian grid. We then solve for the advective parts of the mass balance and energy equations along the individual streamlines, accounting for the compressibility effects. At the end of each global time step, we account for the nonadvective terms on the Eulerian grid along with gravity using operator splitting. We test our streamline simulator and compare the results with a commercial thermal simulator. Sensitivity studies for compressibility, gravity and thermal conduction effects are presented. We further extended our thermal streamline simulation to steam flooding. Steam flooding exhibits large volume changes and compressibility associated with the phase behavior of steam, strong gravity segregation and override, and highly coupled energy and mass transport. To overcome these challenges we implement a novel pressure update along the streamlines, a Glowinski scheme operator splitting and a preliminary streamline/finite volume hybrid approach. We tested our streamline simulator on a series of test cases. We compared our thermal streamline results with those computed by a commercial thermal simulator for both accuracy and efficiency. For the cases investigated, we are able to retain solution accuracy, while reducing computational cost and gaining connectivity information from the streamlines. These aspects are useful for reservoir engineering purposes. In traditional thermal reactive reservoir simulation, mass and energy balance equations are solved numerically on discretized reservoir grid blocks. The reaction terms are calculated through Arrhenius kinetics using cell-averaged properties, such as averaged temperature and reactant concentrations. For the in-situ combustion process, the chemical reaction front is physically very narrow, typically a few inches thick. To capture accurately this front, centimeter-sized grids are required that are orders of magnitude smaller than the affordable grid block sizes for full field reservoir models. To solve this grid size effect problem, we propose a new method based on a non-Arrhenius reaction upscaling approach. We do not resolve the combustion front on the grid, but instead use a subgrid-scale model that captures the overall effects of the combustion reactions on flow and transport, i.e. the amount of heat released, the amount of oil burned and the reaction products generated. The subgrid-scale model is calibrated using fine-scale highly accurate numerical simulation and laboratory experiments. This approach significantly improves the computational speed of in-situ combustion simulation as compared to traditional methods. We propose the detailed procedures to implement this methodology in a field-scale simulator. Test cases illustrate the solution consistency when scaling up the grid sizes in multidimensional heterogeneous problems. The methodology is also applicable to other subsurface reactive flow modeling problems with fast chemical reactions and sharp fronts. Displacement front stability is a major concern in the design of all the enhanced oil recovery processes. Historically, premature combustion front break through has been an issue for field operations of in-situ combustion. In this work, we perform detailed analysis based on both analytical methods and numerical simulation. We identify the different flow regimes and several driving fronts in a typical 1D ISC process. For the ISC process in a conventional mobile heavy oil reservoir, we identify the most critical front as the front of steam plateau driving the cold oil bank. We discuss the five main contributors for this front stability/instability: viscous force, condensation, heat conduction, coke plugging and gravity. Detailed numerical tests are performed to test and rank the relative importance of all these different effects.
Download or read book Mathematical Modelling of In situ Combustion for Enhanced Oil Recovery written by R. Davies and published by . This book was released on 1988 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Thermal Methods written by Abdolhossein Hemmati-Sarapardeh and published by Gulf Professional Publishing. This book was released on 2023-04-18 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thermal Methods, Volume Two, the latest release in the Enhanced Oil Recovery series, helps engineers focus on the latest developments in this fast-growing area. In the book, different techniques are described in addition to the latest technologies in data mining and hybrid processes. Supported field case studies are included to illustrate a bridge between research and practical applications, making it useful for both academics and practicing engineers. Structured to start with thermal concepts and steam flooding, the book's editors then advance to more complex content, guiding engineers into areas such as hybrid thermal methods and edgier technologies that bridge solar and nuclear energy. Supported by a full spectrum of contributors, this book gives petroleum engineers and researchers the latest research developments and field applications to drive innovation for the future of energy. - Presents the latest understanding surrounding the updated research and practical applications specific to thermal enhanced oil recovery methods - Provides an analysis of editors' research on available technology, including hybrid thermal-solvent processes and dual pipe configurations - Teaches about additional methods, such as data mining applications, and economic and environmental considerations
