Download or read book RESERVOIR CHARACTERIZATION THROUGH PRE STACK SEISMIC ANALYSIS AND INVERSION IN THE THRACE BASIN NORTHWEST TURKEY written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : This study analyzes hydrocarbon reservoirs by using Amplitude-Versus-Offset (AVO) analysis and different inversion methods to investigate hydrocarbon reservoir in the Thrace Basin which is located in northwest Turkey. A 3D seismic survey containing prestack data was provided by Turkish Petroleum Corporation as true amplitude NMO corrected 3D gathers. The quality of this land data was poor for AVO applications, and steps were taken to make it useful. Radon filtering proved to be extremely useful for this purpose. Although application of this filter affected the AVO characteristics differently depending on the parameters selected for the filter, relative AVO characteristics remained useful for moderate filters. This use of this data for prestack interpretation was undertaken in two parts. AVO analysis of the amplitude trends in the prestack gathers provided insight into rock properties and anomalous behavior, apparently related to hydrocarbon content. Prestack simultaneous inversion was also applied to the data, yielding images of the elastic properties of the potential reservoir rock. While it remains uncertain whether or not the anomalies observed represent hydrocarbon deposits of economic quality, this study does demonstrate that the data quality in this survey is sufficient to identify anomalies that are consistent with hydrocarbon-bearing zones. The use of prestack processing techniques, particularly the Radon filter, improves the signal-to-noise ratio, allowing use of AVO studies and prestack inversion, but it also decreases the range of AVO differences, limiting the use of traditional AVO guidelines, but the relative differences between background and potential pay remain observable.
Download or read book Reservoir Characterization Via Amplitude Versus Offset Analysis and Impedance Inversion in the Thrace Basin of Northwest Turkey written by Sercan Pisen and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental parameters in seismic reservoir characterization are P-wave, S-wave velocities, and density. Understanding the relation of these parameters with the pore-fluid content and lithology is the key for this research. The purpose of the study is to detect and outline a hydrocarbon-saturated reservoir in the Thrace Basin of NW Turkey, which is primarily gas-prone, using four 2-D long-offset reflection lines and conventional well logs data that were acquired by Turkish Petroleum (TPAO). The major means are amplitude versus offset analysis and impedance inversion. In addition, petrophysical analysis is performed to understand and determine the rock properties including porosity, lithology and pore fluid content. Well-2 is interpreted, and reservoir interval is discovered in the depth range of 878-899 m. According to the available petrophysical data, the reservoir consists of high porosity shaly-sandstone with 38% water saturation. Seismic data is processed through Kirchhoff Time Migration to image subsurface geology with an optimum resolution. The processing flow is designed to preserve true amplitude which is required for satisfactory amplitude versus offset (AVO) analysis. AVO modeling is performed to understand the AVO response differences between brine and gas saturated cases. In the absence of measured shear wave velocity, it is predicted using primary wave velocity from sonic log based on Gassmann fluid substitution and Castagna equations. Furthermore, AVO analysis is carried out using NMO-corrected CDP gathers at Well-2 location to discriminate gas reservoir from background lithology. Class III type of AVO Anomaly which is known as "classic bright spot" is observed demonstrating amplitude is increasing as offset increases for both the top and base of the reservoir. Acoustic impedance inversion has been applied to characterize the rock properties of the reservoir zone. The reservoir interval is distinguished as a zone of relatively low-impedance and information regarding lateral extent of the reservoir sand is obtained, as well. Elastic impedance inversion using range-limited angle stacks demonstrates an increase in amplitude with offset/angle indicating that although the anomalous amplitude can be seen at the near offset stack, the reservoir is brightening and is more visible at far offset.
Download or read book UNCONVENTIONAL RESERVOIR IDENTIFICATION FROM SEISMIC INVERSION IN THRACE BASIN TURKEY written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : The objective of this study is the detection and analysis of a potential unconventional hydrocarbon reservoir using post-stack seismic data through inversion and petrophysical parameters constrained by data from three wells. The data come from the Thrace basin in northern-western Turkey, one of the most important gas and oil regions in the country. Lithology and possible hydrocarbon reservoirs are identified from well logs available from three wells in the study area. The petrophysical analysis also provided input for fluid substitution models used in the analysis of seismic data away from the wells. A small potential hydrocarbon reservoir is identified in at lease one well in shale beds within the depth range of 1535-1560 meters. Three different types of the post-stack acoustic impedance inversion are used in this study: band-limited; sparse-spike; and model-based inversion. A potential reservoir is readily identified based on low impedance values. The model-based inversion appeared to provide the best images and correlation with logs. 3D lowest impedance model and reservoir model are created from model-based inversion results. The reservoir areal extent is approximately 1.6 km2 the net reservoir is 20 meters thick, the net pay is 6.4 meters and net porosity thickness is 2.1 meters.
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 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 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 Seismic Reflection Well Log and Gravity Analysis of the Thrace Basin Northwestern Turkey written by Murat Kuvanc and published by . This book was released on 2016 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Thrace Basin is located between the Paleogene the Istranca and Rhdope massifs in the northwestern part of Turkey. Sediments in the Thrace Basin accumulated during the early Eocene to the late Miocene, and the basin includes normal and strike-slip faults that were mainly formed in the Miocene. The hydrocarbon potential of the Thrace Basin has been investigated by analyzing seismic reflection, well log, and gravity data since the 1930s; the basin has a huge gas reservoir potential and contains the first gas production field in Turkey. To determine the geologic and geophysics features of a portion of the basin and investigate the hydrocarbon potential of that area, new seismic reflection, well log, and gravity data were analyzed here. These data provide for subsurface maps and images that show the geologic structures, which include pull-apart basin and anticlinal structure. Well log analyses shows gas-bearing zones in the Alacaoglu 5 and 7 wells but these results do not support the idea that the reservoir has economic potential for gas production. Gravity anomalies were mapped to show the overall basin thickness.
Download or read book Unconventional Reservoir Parameter Estimation by Seismic Inversion and Machine Learning of the Bakken Formation North Dakota written by Jackson Ray Tomski and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research reported in this thesis focuses on the prediction of reservoir parameters and their uncertainties. The thesis comprises two studies. In the first part, I focus on quantitative and seismic interpretation problem, where I describe a workflow for estimation of porosity using the results from pre-stack seismic inversion. The second part focuses on the production problem, where I establish a relationship between completion parameters and production given a production dataset from the Bakken Formation. In the first study, I characterize the unconventional reservoir of the Bakken Formation, specifically within northwest North Dakota using 3D seismic and well log data. I employ seismic inversion followed by application of a Bayesian Neural Network to predict total porosity across the entire seismic volume given an estimated volume of P-impedance. The Bayesian Neural Network utilizes Markov Chain Monte Carlo via Langevin Dynamics in order to sample from the probability distribution and to estimate uncertainity. This method establishes a good correlation between estimated P-impedance from seismic inversion and total porosity from well data. By integrating these techniques, a better understanding of the parameters useful for reservoir characterization is possible given a degree of uncertainity thereby improving oil and gas exploration and risk assessment. In this second study, I make use of a production dataset of the Bakken Formation to identify production patterns in the field to establish a relationship between completion parameters and production. A random forest model is employed alongside the Bayesian Neural Network model to predict production given a set of predictive features found through a series of feature selection methods. I then aim to create various training and testing dataset scenarios through random sampling and clustering. I do this in order to reduce the sampling bias and ensure that the machine learning models are being trained and tested on data coming from similar geological regions with similar production rate values. With the integration of these techniques, a better understanding of the parameters useful for optimizing oil production is possible with a degree of uncertainity when using the Bayesian Neural Network
Download or read book High resolution Reservoir Characterization by Seismic Inversion with Geological Constraints written by Daria Tetyukhina and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reservoir Characterization Using Seismic Inversion Data written by Subhash Kalla and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Reservoir Characterization written by Md Jamilur Rahman and published by LAP Lambert Academic Publishing. This book was released on 2012-08 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, oil demand has increased globally and most of the easy exploration targets are exploited. Because of demand and high oil price, companies are now looking for oil in more complex basin. Hence better technology and methods needed for exploration. In the recent year, understanding of reservoir is a boom in success. This book, therefore, provides few methods to characterized reservoir properly which give more information in a specific reservoir. Four different methods used in this book are compaction and rock properties evaluation, rock physics analysis, AVO modeling and seismic inversion. Compaction study reveal the time temperature history of reservoir rock whereas rock physics study gives an idea about N/G ratio, seismic properties of reservoir rock, fluid discrimination etc. Moreover, AVO modeling and acoustic impedance inversion are helped to know the real condition of reservoir rocks and fluids. These techniques which used in this book, should help to exploration in exhumed (uplift and erosion) basin, should be useful in reservoir monitoring or anyone who want to know these techniques.
Download or read book Reservoir Characterization and History Matching with Uncertainty Quantification Using Ensemble based Data Assimilation with Data Re parameterization written by Mingliang Liu and published by . This book was released on 2021 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reservoir characterization and history matching are essential steps in various subsurface applications, such as petroleum exploration and production and geological carbon sequestration, aiming to estimate the rock and fluid properties of the subsurface from geophysical measurements and borehole data. Mathematically, both tasks can be formulated as inverse problems, which attempt to find optimal earth models that are consistent with the true measurements. The objective of this dissertation is to develop a stochastic inversion method to improve the accuracy of predicted reservoir properties as well as quantification of the associated uncertainty by assimilating both the surface geophysical observations and the production data from borehole using Ensemble Smoother with Multiple Data Assimilation. To avoid the common phenomenon of ensemble collapse in which the model uncertainty would be underestimated, we propose to re-parameterize the high-dimensional geophysics data with data order reduction methods, for example, singular value decomposition and deep convolutional autoencoder, and then perform the models updating efficiently in the low-dimensional data space. We first apply the method to seismic and rock physics inversion for the joint estimation of elastic and petrophysical properties from the pre-stack seismic data. In the production or monitoring stage, we extend the proposed method to seismic history matching for the prediction of porosity and permeability models by integrating both the time-lapse seismic and production data. The proposed method is tested on synthetic examples and successfully applied in petroleum exploration and production and carbon dioxide sequestration.
Download or read book Ray based Stochastic Inversion of Pre stack Seismic Data for Improved Reservoir Characterisation written by Dennis Wilhelmus van der Burg and published by . This book was released on 2007 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reservoir Characterization Using Seismic Reflectivity and Attributes written by Abdulrahman Mohammad Saleh Al-Moqbel and published by . This book was released on 2002 with total page 164 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 186 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 Seismic constrained Lithology Prediction and Reservoir quality Modeling Using Pre stack Inversion and Bayesian Classification Mississippian Meramec Strata Eastern Anadarko Basin Oklahoma written by Madison Hope Williams and published by . This book was released on 2020 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
