Download or read book Dynamic Reservoir Characterization Using 4D Multicomponent Seismic Data and Rock Physics Modeling at Delhi Field Louisiana written by Carla C. Carvajal Meneses and published by . This book was released on 2013 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 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 Seismic Reservoir Modeling written by Dario Grana and published by John Wiley & Sons. This book was released on 2021-05-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid properties, including elastic and petrophysical variables, to describe and monitor the state of the subsurface for hydrocarbon exploration and production and for CO2 sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements are often the only available data to constrain reservoir models far away from well control. Therefore, reservoir properties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geological modeling of the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density. Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies.

Download or read book Static and Dynamic Reservoir Characterization Using High Resolution P wave Data in Delhi Field LA written by Sidra Shahid and published by . This book was released on 2011 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Geophysics for Petroleum Engineers written by Fred Aminzadeh and published by Elsevier Inc. Chapters. This book was released on 2013-12-09 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate reservoir characterization is a key step in developing, monitoring, and managing a reservoir and optimizing production. To achieve accuracy and to ensure that all the information available at any given time is incorporated in the reservoirmodel, reservoir characterizationmust be dynamic. To achieve this goal, however, one starts with a simple model of the reservoir at a given time point (a static model). As new petrophysical, seismic, and production data become available, the reservoir model is updated to account for the changes in the reservoir. The updated model would be a better representative of the current status of the reservoir. Both static reservoir properties, such as porosity, permeability, and facies type; and dynamic reservoir properties, such as pressure, fluid saturation, and temperature, needs to be updated as more field data become available. Characterizing a reservoir by updating of both static and dynamic reservoir properties during the life of the field is referred to as dynamic reservoir characterization. Dynamic reservoir characterization is discussed in , dealing with time lapse or 4D geophysical data and reservoir monitoring. This chapter, however, focuses on static reservoir characterization.

Download or read book Stratigraphic Reservoir Characterization for Petroleum Geologists Geophysicists and Engineers written by Roger M. Slatt and published by Elsevier Inc. Chapters. This book was released on 2013-11-21 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many tools and techniques for characterizing oil and gas reservoirs. Seismic-reflection techniques include conventional 2D and 3D seismic, 4D time-lapse seismic, multicomponent seismic, crosswell seismic, seismic inversion, and seismic attribute analysis, all designed to enhance stratigraphy/structure detection, resolution, and characterization. These techniques are constantly being improved. Drilling and coring a well provides the “ground truth” for seismic interpretation. Rock formations are directly sampled by cuttings and by core and indirectly characterized with a variety of conventional and specialized well logs. To maximize characterization and optimize production, many of these tools as possible should be employed. It is often less expensive to utilize a wide variety of tools that directly image or measure reservoir properties at different scales than to drill one or two dry holes.

Download or read book Uncertainty Analysis and Reservoir Modeling written by Y. Zee Ma and published by AAPG. This book was released on 2011-12-20 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Seismic Reservoir Characterization written by Philippe Doyen and published by . This book was released on 2007 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reservoir Characterization of the Haynesville Shale Panola County Texas Using Rock Physics Modeling and Partial Stack Seismic Inversion written by Sarah Bryson Coyle and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates the relationship between elastic properties and rock properties of the Haynesville Shale using rock physics modeling, simultaneous seismic inversion, and grid searching. A workflow is developed in which a rock physics model is built and calibrated to well data in the Haynesville Shale and then applied to 3D seismic inversion data to predict porosity and mineralogy away from the borehole locations. The rock physics model describes the relationship between porosity, mineral composition, pore shape, and elastic stiffness using the anisotropic differential effective medium model. The calibrated rock physics model is used to generate a modeling space representing a range of mineral compositions and porosities with a calibrated mean pore shape. The model space is grid searched using objective functions to select a range of models that describe the inverted P-impedance, S-impedance, and density volumes. The selected models provide a range of possible rock properties (porosity and mineral composition) and an estimate of uncertainty. The mineral properties were mapped in three dimensions within the area of interest using this modeling technique and inversion workflow. This map of mineral content and porosity can be interpreted to predict the best areas for hydraulic fracturing.

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 2021-04-09 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past several years, there has been a growing integration of data – geophysical, geological, petrophysical, engineering-related, and production-related – in predicting and determining reservoir properties. As such, geoscientists now must learn the technology, processes, and challenges involved within their specific functions in order to optimize planning for oil field development. Applied Techniques to Integrated Oil and Gas Reservoir Characterization 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. From basin analysis of conventional and unconventional reservoirs, to seismic attributes analysis, NMR for reservoir characterization, amplitude versus offset (AVO), well-to-seismic tie, seismic inversion studies, rock physics, pore pressure prediction, and 4D for reservoir monitoring, the text examines challenges in the industry as well as the techniques used to overcome those challenges. This book includes valuable contributions from global industry experts: Brian Schulte (Schiefer Reservoir Consulting), Dr. Neil W. Craigie (Saudi Aramco), Matthijs van der Molen (Shell International E&P), Dr. Fred W. Schroeder (ExxonMobil, retired), Dr. Tharwat Hassane (Schlumberger & BP, retired), and others. Presents a thorough understanding of the requirements 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) Offers advice from industry experts to geoscience students, including career guides and interview tips

Download or read book Integrating Rock Physics and Seismic Inversion for Reservoir Characterization in the Gulf of Mexico written by Oyedoyin Opeoluwa Oyetunji and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Seismic amplitude study is a crucial aspect in reservoir characterization as it helps to analyze seismic responses before interpretation. In this study, an attempt was made to identifying the reservoirs present in the High Island field at well locations. Rock physics modeling and seismic inversion were applied in an integrated approach to study the seismic response of these reservoirs and also delineate other hydrocarbon-charged reservoirs in the field. New elastic logs were generated and subsequently used for the rock physics analyses. Rock-property models using well-log data from the study area were evaluated. These models were used in analyzing the sand and shale log response of the study area. Well-log inversion is also carried out by minimizing the difference between modeled and measured logs. The cross-plot analyses from wells successfully distinguished between fluids and lithology effect in the area, these were subsequently confirmed by AVO modeling. The result showed that lower values of Lambda-Rho, Vp/Vs ratio and impedance values correlated with areas containing hydrocarbons. Three-dimensional seismic interpretation was also carried out to provide structural and stratigraphic information of the study area; the horizons reflect structural features including faults which could serve as a trapping mechanism for hydrocarbons. The picked horizons were used to guide the interpolation of the initial model used during seismic inversion. The seismic inversion helped delineate hydrocarbon reservoirs and also aided the propagation of reservoir parameters to include areal extent of the reservoir and to see how this varies within the field.

Download or read book Reservoir Characterization Utilizing Three dimensional Multicomponent Seismic Data Cedar Hill Field San Juan Basin New Mexico written by Robert D. Benson and published by . This book was released on 1997 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Quantitative Reservoir Characterization Integrating Seismic Data and Geological Scenario Uncertainty written by Cheolkyun Jeong and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this dissertation is to characterize reservoir models quantitatively using seismic data and geological information. Its key contribution is to develop a practical workflow to integrate seismic data and geological scenario uncertainty. First, to address the uncertainty of multiple geological scenarios, we estimate the likelihood of all available scenarios using given seismic data. Starting with the probability given by geologists, we can identify more likely scenarios and less likely ones by comparing the pattern similarity of seismic data. Then, we use these probabilities to sample the posterior PDF constrained in multiple geological scenarios. Identifying each geological scenario in metric space and estimating the probability of each scenario given particular data helps to quantify the geological scenario uncertainty. Secondly, combining multiple-points geostatistics and seismic data in Bayesian inversion, we have studied some geological scenarios and forward simulations for seismic data. Due to various practical issues such as the complexity of seismic data and the computational inefficiency, this is not yet well established, especially for actual 3-D field datasets. To go from generating thousands of prior models to sampling the posterior, a faster and more computationally efficient algorithm is necessary. Thus, this dissertation proposes a fast approximation algorithm for sampling the posterior distribution of the Earth models, while maintaining a range of uncertainty and practical applicability. Lastly, the proposed workflow has been applied in an actual reservoir. The field, still in the early stage, has limited well data, seismic data, and some geological observations. Accordingly, the proposed workflow can guide several processes, from selecting geological scenarios to suggesting a set of models for decision makers. The case study, applied in a turbidite reservoir in West Africa, demonstrates the quantitative seismic reservoir characterization constrained to geological scenarios. It contains a well log study, rock physics modeling, a forward simulation for generating seismic responses, and object-based prior modeling. As the result, we could pick some promising geological scenarios and its geological parameters from seismic data using distance-based pattern similarity. Next, based on the selected geological scenarios, Metropolis sampler using Adaptive Spatial Resampling (M-ASR) successfully sampled the posterior conditioned to all available data and geological scenario uncertainty.

Download or read book Reservoir Characterization II written by Lake and published by Academic Press. This book was released on 2012-12-02 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reservoir Characterization II contains the proceedings of the Second International Reservoir Characterization Conference held in Dallas, Texas in June 1989. Contributors focus on the characterization of reservoir processes and cover topics ranging from surface roughness in porous media and reservoir characterization at the mesoscopic scale to shale clast heterogeneities and their effect on fluid flow, permeability patterns in fluvial sandstones, and reservoir management using 3-D seismic data. This book is organized into six sections encompassing 43 chapters. The first 20 chapters deal with reservoir characterization at the microscopic, mesoscopic, and macroscopic scales. Topics include low-contrast resistivity sandstone formations; the use of centrifuge and computer tomography to quantify saturation distribution and capillary pressures; and cross-well seismology as a tool for reservoir geophysics. The chapters that follow deal with reservoir characterization at the megascopic scale; fractal heterogeneity of clastic reservoirs; heterogeneity and effective permeability of porous rocks; and drilling fluid design based on reservoir characterization. A chapter that outlines a procedure for estimating permeability anisotropy with a minipermeameter concludes the book. This book is a valuable resource for students and practitioners of petroleum engineering, geology and geological engineering, petroleum exploration, and geophysics.

Download or read book Dynamic Reservoir Characterization Using P wave and S wave Seismic Time lapse Data at Postle Field Texas County Oklahoma written by Nataly A. Zerpa and published by . This book was released on 2011 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Practical Guide to Seismic Reservoir Characterization written by Timothy Tylor-Jones and published by Springer Nature. This book was released on 2023-01-11 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers in detail the entire workflow for quantitative seismic interpretation of subsurface modeling and characterization. It focusses on each step of the geo-modeling workflow starting from data preconditioning and wavelet extraction, which is the basis for the reservoir geophysics described and introduced in the following chapters. This book allows the reader to get a comprehensive insight of the most common and advanced workflows. It aims at graduate students related to energy (hydrocarbons), CO2 geological storage, and near surface characterization as well as professionals in these industries. The reader benefits from the strong and coherent theoretical background of the book, which is accompanied with real case examples.