Download or read book Geomechanical Characterization and Reservoir Simulation of a CO2 Sequestration Project in a Mature Oil Field Teapot Dome WY written by Laura Chiaramonte and published by . This book was released on 2008 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reservoir Characterization written by Fred Aminzadeh and published by John Wiley & Sons. This book was released on 2022-01-06 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: RESERVOIR CHARACTERIZATION The second volume in the series, “Sustainable Energy Engineering,” written by some of the foremost authorities in the world on reservoir engineering, this groundbreaking new volume presents the most comprehensive and updated new processes, equipment, and practical applications in the field. Long thought of as not being “sustainable,” newly discovered sources of petroleum and newly developed methods for petroleum extraction have made it clear that not only can the petroleum industry march toward sustainability, but it can be made “greener” and more environmentally friendly. Sustainable energy engineering is where the technical, economic, and environmental aspects of energy production intersect and affect each other. This collection of papers covers the strategic and economic implications of methods used to characterize petroleum reservoirs. Born out of the journal by the same name, formerly published by Scrivener Publishing, most of the articles in this volume have been updated, and there are some new additions, as well, to keep the engineer abreast of any updates and new methods in the industry. Truly a snapshot of the state of the art, this groundbreaking volume is a must-have for any petroleum engineer working in the field, environmental engineers, petroleum engineering students, and any other engineer or scientist working with reservoirs. This outstanding new volume: Is a collection of papers on reservoir characterization written by world-renowned engineers and scientists and presents them here, in one volume Contains in-depth coverage of not just the fundamentals of reservoir characterization, but the anomalies and challenges, set in application-based, real-world situations Covers reservoir characterization for the engineer to be able to solve daily problems on the job, whether in the field or in the office Deconstructs myths that are prevalent and deeply rooted in the industry and reconstructs logical solutions Is a valuable resource for the veteran engineer, new hire, or petroleum engineering student

Download or read book Integrated Reservoir Studies for CO2 Enhanced Oil Recovery and Sequestration written by Shib Sankar Ganguli and published by Springer. This book was released on 2017-03-30 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the feasibility of CO2-EOR and sequestration in a mature Indian oil field, pursuing for the first time a cross-disciplinary approach that combines the results from reservoir modeling and flow simulation, rock physics modeling, geomechanics, and time-lapse (4D) seismic monitoring study. The key findings presented indicate that the field under study holds great potential for enhanced oil recovery (EOR) and subsequent CO2 storage. Experts around the globe argue that storing CO2 by means of enhanced oil recovery (EOR) could support climate change mitigation by reducing the amount of CO2 emissions in the atmosphere by ca. 20%. CO2-EOR and sequestration is a cutting-edge and emerging field of research in India, and there is an urgent need to assess Indian hydrocarbon reservoirs for the feasibility of CO2-EOR and storage. Combining the fundamentals of the technique with concrete examples, the book is essential reading for all researchers, students and oil & gas professionals who want to fully understand CO2-EOR and its geologic sequestration process in mature oil fields.

Download or read book Reservoir Simulation of CO2 Sequestration and Enhanced Oil Recovery in Tensleep Formation Teapot Dome Field written by Ricardo Gaviria Garcia and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Teapot Dome field is located 35 miles north of Casper, Wyoming in Natrona County. This field has been selected by the U.S. Department of Energy to implement a field-size CO2 storage project. With a projected storage of 2.6 million tons of carbon dioxide a year under fully operational conditions in 2006, the multiple-partner Teapot Dome project could be one of the world's largest CO2 storage sites. CO2 injection has been used for decades to improve oil recovery from depleted hydrocarbon reservoirs. In the CO2 sequestration technique, the aim is to "co-optimize" CO2 storage and oil recovery. In order to achieve the goal of CO2 sequestration, this study uses reservoir simulation to predict the amount of CO2 that can be stored in the Tensleep Formation and the amount of oil that can be produced as a side benefit of CO2 injection. This research discusses the effects of using different reservoir fluid models from EOS regression and fracture permeability in dual porosity models on enhanced oil recovery and CO2 storage in the Tensleep Formation. Oil and gas production behavior obtained from the fluid models were completely different. Fully compositional and pseudo-miscible black oil fluid models were tested in a quarter of a five spot pattern. Compositional fluid model is more convenient for enhanced oil recovery evaluation. Detailed reservoir characterization was performed to represent the complex characteristics of the reservoir. A 3D black oil reservoir simulation model was used to evaluate the effects of fractures in reservoir fluids production. Single porosity simulation model results were compared with those from the dual porosity model. Based on the results obtained from each simulation model, it has been concluded that the pseudo-miscible model can not be used to represent the CO2 injection process in Teapot Dome. Dual porosity models with variable fracture permeability provided a better reproduction of oil and water rates in the highly fractured Tensleep Formation.

Download or read book An Uncertainty Analysis of Modeling Geologic Carbon Sequestration in a Naturally Fractured Reservoir at Teapot Dome Wyoming written by Ye Li and published by . This book was released on 2014 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents an uncertainty analysis of Geologic Carbon Sequestration modeling in a naturally fractured reservoir at Teapot Dome, Wyoming. Structural & stratigraphic, residual, and solubility trapping mechanisms are the focus of this study, while mineral trapping is not considered. A reservoir-scale geologic model is built to model CO2 storage in the Tensleep Sandstone using a variety of site characterization data that have been collected, screened for accuracy, and analyzed. These data are from diverse sources, such as reservoir geology, geophysics, petrophysics, engineering, and analogs. Because fluid flow occurs in both matrix and fractures of the Tensleep Sandstone, both systems of heterogeneity must be incorporated into the geologic model. The matrix heterogeneity of the geologic model is developed through a hierarchical process of structural modeling, facies modeling, and petrophysical modeling. In structural modeling, the framework of the reservoir is conditioned to seismic data and well log interpretations. Based on the concept of flow units, the facies model, which is conditioned to a global vertical facies proportion curve that acts as `soft' data, is built geostatistically by the Sequential Indicator Simulation method. Then, the petrophysical properties (porosity) are modeled geostatistically within each facies through the Sequential Gaussian Simulation approach. A Discrete Fracture Network (DFN) is adopted as the method to model the distribution of open natural fractures in the reservoir. Basic inputs for the DFN model are derived from FMI logs, cores, and analogs. In addition, in combination with an artificial neural network analysis, 3D seismic attributes are used as fracture drivers to guide the modeling of fracture intensity distribution away from the boreholes. In DFN models, power laws are adopted to define the distribution of fracture intensity, length and aperture. To understand the effect of model complexity on CO2 storage predictions, a suite of increasingly simplified conceptual geologic model families are created with decreasing amount of site characterization data: a hierarchical stochastic model family conditioned to ' soft' data (FAM4), a simple stochastic facies model family (FAM3), a simple stochastic porosity model family (FAM2), and a homogeneous model family (FAM1). These families, representing alternative conceptual geologic models built with increasing reduced data, are simulated with the same CO2 injection test (20 years of injection at 1,000 Mscf/day), followed by 80 years of monitoring. Using the Design of Experiment, an efficient sensitivity analysis (SA) is conducted for all families, systematically varying uncertain input parameters, while assuming identical well configurations, injection rates, bottom-hole pressure constraints, and boundary conditions. The SA results are compared among the families to identify parameters that have the first order impact on predicting the CO2 storage ratio (SR) at two different time scales, i.e., end of injection and end of monitoring. This comparison indicates that, for this naturally fractured reservoir, the facies model is necessary to study the sensitivity characteristics of predicting the CO 2 storage behavior. The SA results identify matrix relative permeability, fracture aperture of fracture set 1, and fracture aperture of fracture set 2 as the statistically important factors. Based on the results of the SA, a response surface analysis is conducted to generate prediction envelopes of the CO2 storage ratio, which are also compared among the families at both times. Its results demonstrate that the SR variation due to the different modeling choices is relatively small. At the proposed storage site, as more than 90% of injected CO2 is probably mobile, short-term leakage risk is considered large, and it depends on the sealing ability of top formations.

Download or read book Microseismic Monitoring and Geomechanical Modelling of CO2 Storage in Subsurface Reservoirs written by James P. Verdon and published by Springer Science & Business Media. This book was released on 2012-01-11 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents an impressive summary of the potential to use passive seismic methods to monitor the sequestration of anthropogenic CO2 in geologic reservoirs. It brings together innovative research in two distinct areas – seismology and geomechanics – and involves both data analysis and numerical modelling. The data come from the Weyburn-Midale project, which is currently the largest Carbon Capture and Storage (CCS) project in the world. James Verdon’s results show how passive seismic monitoring can be used as an early warning system for fault reactivation and top seal failure, which may lead to the escape of CO2 at the surface.

Download or read book Geomechanical Characterization of CO2 Storage Reservoirs on the Rock Springs Uplift WY written by Hua Yu and published by . This book was released on 2018 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Carbon sequestration in deep geological formations has been considered as an important and practical solution to significantly reduce the CO2 emission. CO2 injection into reservoirs may lead to mechanical, chemical, and hydrological effects on the geological formations. This Ph.D. research primarily focuses on quantifying and analyzing geomechanical properties and the effect of CO2 on geomechanical properties of reservoir rocks. The research includes: 1) select and prepare rock samples (Weber Sandstone) from Rock Springs Uplift, Wyoming; 2) design and conduct geomechanical experiments; 3) improve the estimations of geomechanical properties of rocks; 4) develop the analytical model describing the nonlinear rock failure behavior; 5) investigate the effect of compliant pores on reservoir rocks under different stress states; 6) quantify and analyze the changes in geomechanical properties of reservoir rocks due to CO2. Major conclusions drawn from this research were summarized. First, a new method proposed for estimating elastic constants and crack propagation stress thresholds significantly eliminates bias due to both user-defined data interval and poor data resolution on the stress-strain data analysis procedures. Second, a generalized power-law failure criterion was derived in terms of the rock strength properties and validated through published test data for different rock types. Third, the nonlinear pore pressure-volumetric strain relationship at low confining pressure changes to a linear behavior at high confining pressure. Fourth, the unstable crack growth region governed by the initial compliant porosity is independent of the differential pressure. Fifth, the effect of CO2 on geomechanical properties of Weber Sandstone in the linear elastic, nonlinear plastic, and post-failure regime is limited. However, a consistent change in Mohr failure coefficients due to CO2 was observed.

Download or read book Engineering Aspects of Geologic CO2 Storage written by Dayanand Saini and published by Springer. This book was released on 2017-03-22 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book explores the lessons learned in and potentials of injecting supercritical CO2 into depleted oil and gas reservoirs, in order to maximize both hydrocarbon recovery and the storage capacities of injected CO2. The author provides a detailed discussion of key engineering parameters of simultaneous CO2 enhanced oil recovery and CO2 storage in depleted hydrocarbon reservoirs. These include candidate site selection, CO2 oil miscibility, maximizing CO2-storage capacity in enhanced oil recovery operations, well configurations, and cap and reservoir rock integrity. The book will help practicing professionals devise strategies to curb greenhouse gas emissions from the use of fossil fuels for energy production via geologic CO2 storage, while developing CO2 injection as an economically viable and environmentally sensible business model for hydrocarbon exploration and production in a low carbon economy.

Download or read book Data Driven Analytics for the Geological Storage of CO2 written by Shahab Mohaghegh and published by CRC Press. This book was released on 2018-05-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Geomechanics in Reservoir Simulation written by Pascal Longuemare and published by Editions TECHNIP. This book was released on 2002 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Integrated Reflection Seismic Monitoring and Reservoir Modeling for Geologic CO2 Sequestration written by and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The US DOE/NETL CCS MVA program funded a project with Fusion Petroleum Technologies Inc. (now SIGMA) to model the proof of concept of using sparse seismic data in the monitoring of CO2 injected into saline aquifers. The goal of the project was to develop and demonstrate an active source reflection seismic imaging strategy based on deployment of spatially sparse surface seismic arrays. The primary objective was to test the feasibility of sparse seismic array systems to monitor the CO2 plume migration injected into deep saline aquifers. The USDOE/RMOTC Teapot Dome (Wyoming) 3D seismic and reservoir data targeting the Crow Mountain formation was used as a realistic proxy to evaluate the feasibility of the proposed methodology. Though the RMOTC field has been well studied, the Crow Mountain as a saline aquifer has not been studied previously as a CO2 sequestration (storage) candidate reservoir. A full reprocessing of the seismic data from field tapes that included prestack time migration (PSTM) followed by prestack depth migration (PSDM) was performed. A baseline reservoir model was generated from the new imaging results that characterized the faults and horizon surfaces of the Crow Mountain reservoir. The 3D interpretation was integrated with the petrophysical data from available wells and incorporated into a geocellular model. The reservoir structure used in the geocellular model was developed using advanced inversion technologies including Fusion's ThinMAN{trademark} broadband spectral inversion. Seal failure risk was assessed using Fusion's proprietary GEOPRESS{trademark} pore pressure and fracture pressure prediction technology. CO2 injection was simulated into the Crow Mountain with a commercial reservoir simulator. Approximately 1.2MM tons of CO2 was simulated to be injected into the Crow Mountain reservoir over 30 years and subsequently let 'soak' in the reservoir for 970 years. The relatively small plume developed from this injection was observed migrating due to gravity to the apexes of the double anticline in the Crow Mountain reservoir of the Teapot dome. Four models were generated from the reservoir simulation task of the project which included three saturation models representing snapshots at different times during and after simulated CO2 injection and a fully saturated CO2 fluid substitution model. The saturation models were used along with a Gassmann fluid substitution model for CO2 to perform fluid volumetric substitution in the Crow Mountain formation. The fluid substitution resulted in a velocity and density model for the 3D volume at each saturation condition that was used to generate a synthetic seismic survey. FPTI's (Fusion Petroleum Technologies Inc.) proprietary SeisModelPRO{trademark} full acoustic wave equation software was used to simulate acquisition of a 3D seismic survey on the four models over a subset of the field area. The simulated acquisition area included the injection wells and the majority of the simulated plume area.

Download or read book Coupled Geomechanical Reservoir Simulation written by Amin Amirlatifi and published by . This book was released on 2013 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Founded by Department Of Energy, the Plains CO2 Reduction (PCOR) Partnership is investigating the Williston Basin as a candidate for sequestering CO2 emissions from power plants. The State of Missouri, a member of PCOR, lies at the outermost point on the proposed transportation route and consequently faces the highest CO2 compression and transportation costs. In order to minimize the cost of CO2 sequestration, it is desirable to find a storage site within the state. The Lamotte sandstone is identified as a suitable sequestration aquifer formation in Missouri with acceptable permeability, porosity, extension, rock strength and water salinity. Using the finite element analysis package ABAQUS for the geomechanical analysis and the fluid flow simulator Eclipse for pore pressure determination, this work looks at pore pressure - stress coupling which has significant implications for failure mechanism, fault reactivation and caprock integrity. The present work also suggests the use of Pressure Transient Analysis (PTA) to quantify the lateral fluid flow boundary type and differentiating between open, closed and infinite systems. The present work also suggests a new boundary condition, Semi-Open, which is a transitional lateral boundary condition between Fully Open and Closed boundary conditions. Results of the present work provide a coupling module that can be used to conduct coupled geomechanical analysis for CO2 sequestration projects, facilitate the building of 3D mechanical earth models and provide insight into the role of boundary conditions with respect to CO2 storage capacity. The coupling procedure is utilized to evaluate CO2 storage potential and assess the geomechanical risks for CO2 sequestration in a candidate storage site in the North-Eastern part of the state of Missouri for sustainable CO2 sequestration"--Abstract, page iv.

Download or read book Petroleum Geomechanics Characterization Using Coupled Numerical Modeling and Soft Computing written by Shike Zhang and published by . This book was released on 2013 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Petroleum geomechanics characterization is very important for conducting successful geomechanics operations such as reservoir compaction, associated surface subsidence, wellbore stability, hydraulic fracturing and coupled geomechanics-reservoir simulation in petroleum engineering. However, there are two big challenges which restrict accurate petroleum geomechanics characterization. The first challenge is deep subsurface formation. Restricted access to subsurface formation makes this characterization challenging. Consider oil, gas and geothermal reservoirs both conventional and unconventional which are more than the average depth of 200 m, making it very difficult for engineers and geoscientists to accurately obtain the geomechanical parameters with the traditional methods such as core analysis, field test methods and observation of discontinuity states. The other challenge is that there is usually a nonlinear relationship between the geomechanical parameters and the geomechanical behavior of rock mass. Because the traditional methods are mainly based on the linear theory, this remains a challenge and desires that we seek to develop an effective and reliable linear and/or nonlinear regression procedure to overcome the complex spatial relationship for petroleum geomechanics characterization. Inverse analysis can help overcome these challenges by taking advantage of field-observed and recorded information. Thus, inverse analysis has been receiving increasing attention in various fields of science and engineering, and can be defined as the one in which model parameters are obtained from the given observed data. In this dissertation, a displacement and pressure based inverse analysis method using coupled numerical modeling and soft computing is presented in more detail for petroleum geomechanics characterization in oil, gas and geothermal reservoirs. It can effectively overcome several disadvantages of traditional methods in estimating the geomechanical parameters, for example sample disturbance problem encountered in laboratory testing of geomechanical parameters, high cost to obtain core from the in-situ formation in the deep subsurface, and lack of effective tools to measure the fracture properties directly. In this integrated inverse analysis method, a forward modeling is used to (1) create the training and testing samples for artificial neural network (ANN) model, and (2) verify if the identification results are accurate by using back substitution calculation. The ANN model is used as an alternative to the numerical modeling to establish the objective function for optimization search of genetic algorithm (GA). And GA is used as an optimization and search tool to characterize the geomechanical parameters based on the objective function established by a combination of the ANN-predicted values and the field-observed information. In addition, some applications are presented in detail in this dissertation to illustrate the proposed methodology can effectively conduct petroleum geomechanics characterization by utilizing the available field-observed and recorded information in petroleum engineering. For instance, with measured ground surface movements, petroleum goemechanics properties such as Young's modulus, Poisson's ratio, internal friction angle and cohesion, can be characterized; with measured wellbore deformation during drilling, petroleum geomechanics properties such as the maximum and minimum horizontal earth stresses and the spacing, aperture, orientation stiffness of natural fracture, can be characterized in the oil, gas and geothermal reservoirs; with wellbore pumping pressures during hydraulic fracturing tests, petroleum geomechanics such as horizontal earth stress state, elastic parameters and fracture properties can be characterized in both conventional and unconventional reservoirs. This work also demonstrates that an inverse analysis technique based on the integration of coupled numerical modeling, artificial neural network and genetic algorithm combination is an effective and robust method to characterize natural fracture stiffness and spacing that there is currently no effective method of estimating in petroleum engineering.

Download or read book Geomechanics in CO2 Storage Facilities written by Gilles Pijaudier-Cabot and published by John Wiley & Sons. This book was released on 2013-01-29 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: CO2 capture and geological storage is seen as the most effective technology to rapidly reduce the emission of greenhouse gases into the atmosphere. Up until now and before proceeding to an industrial development of this technology, laboratory research has been conducted for several years and pilot projects have been launched. So far, these studies have mainly focused on transport and geochemical issues and few studies have been dedicated to the geomechanical issues in CO2 storage facilities. The purpose of this book is to give an overview of the multiphysics processes occurring in CO2 storage facilities, with particular attention given to coupled geomechanical problems. The book is divided into three parts. The first part is dedicated to transport processes and focuses on the efficiency of the storage complex and the evaluation of possible leakage paths. The second part deals with issues related to reservoir injectivity and the presence of fractures and occurrence of damage. The final part of the book concerns the serviceability and ageing of the geomaterials whose poromechanical properties may be altered by contact with the injected reactive fluid.

Download or read book CO2 Reservoir Oil Miscibility written by Dayanand Saini and published by Springer. This book was released on 2018-06-25 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief critically examines the latest experimental and non-experimental approaches used for the fast and reliable characterization and determination of CO2-reservoir oil miscibility in terms of the minimum miscibility pressure (MMP). This book serves as a one-stop source for developing an enhanced understanding of these available methods, and specifically documents, analyses, and evaluates their suitability and robustness for depicting and characterizing the phenomenon of CO2-reservoir oil miscibility in a fast and cost-effective manner. Such information can greatly assist a project team in selecting an appropriate MMP determination method as per the project’s need at a given project’s stage, be that screening, design, or implementation. CO2-Reservoir Oil Miscibility: Experiential and Non-Experimental Characterization and Determination Approaches will be of interest to petroleum science and engineering professionals, researchers, and undergraduate and graduate students engaged in CO2 enhanced oil recovery (EOR) and/or simultaneous CO2-EOR and storage projects and related research. It may also be of interest to engineering and management professionals within the petroleum industry who have responsibility for implementing CO2-EOR projects.

Download or read book Reservoir Characterization and Flow Simulation for Co 2 eor in the Tensleep Formation Using Discrete Fracture Networks Teapot Dome Wyoming written by Payam Kavousi Ghahfarokhi and published by . This book was released on 2016 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Geomechanical Characterization of Reservoir Cap Rocks for CO2 Sequestration written by Sudarshan Govindarajan and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Geological sequestration of CO2 has been identified as one method to reduce global emissions of CO2 and achieve lower levels of CO2 concentrations in the atmosphere. Geological formations have to be assessed in terms of their capacity, sealing capabilities and economic feasibility before CO2 sequestration can commence. Potential leakage of injected CO2 from the reservoir formation could occur due to natural or injection induced faults or fractures in the reservoir or sealing formations. As part of a potential leakage investigation a geomechanical characterization which refers to the assessment of the in-situ stress conditions, rock strength and stiffness properties of the formations of interest helps to determine the seal integrity before, during and after injection of CO2 into the formation. In this study a rock mechanical testing apparatus was designed and commissioned, and the geological formations of interest were analyzed by conducting rock mechanical testing including Brazilian tensile tests, uniaxial tests and single stage triaxial tests accompanied by sonic velocity tests. Mohr Coulomb and Hoek Brown criteria were used to determine failure characteristics. The study helps establish the safe injection pressure. It was found that the formations had a greater likelihood of undergoing tensile failure than shear failure. Although laboratory tests revealed that the capping rock has a higher tensile strength than the reservoir rock, the combination of in-situ stress and pore pressure conditions makes the cap rock susceptible to failure very close to the tensile failure value of the reservoir rock and hence the injection pressures have to be maintained just below that of the tensile failure value of the reservoir rock"--Abstract, leaf iii