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Kurt J. Marfurt [63]Kurt Marfurt [25]
  1.  43
    Multispectral Coherence.Fangyu Li, Jie Qi, Bin Lyu & Kurt J. Marfurt - 2018 - Interpretation: SEG 6 (1):T61-T69.
    Seismic coherence is a routine measure of seismic reflection similarity for interpreters seeking structural boundary and discontinuity features that may be not properly highlighted on original amplitude volumes. One mostly wishes to use the broadest band seismic data for interpretation. However, because of thickness tuning effects, spectral components of specific frequencies can highlight features of certain thicknesses with higher signal-to-noise ratio than others. Seismic stratigraphic features may be buried in the full-bandwidth data, but can be “lit up” at certain spectral (...)
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  2.  35
    Brittleness Evaluation of Resource Plays by Integrating Petrophysical and Seismic Data Analysis.Bo Zhang, Tao Zhao, Xiaochun Jin & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (2):T81-T92.
    The main considerations for well planning and hydraulic fracturing in unconventional resources plays include the amount of total organic carbon and how much hydrocarbon can be extracted. Brittleness is the direct measurement of a formation about the ability to create avenues for hydrocarbons when applying hydraulic fracturing. Brittleness can be directly estimated from laboratory stress-strain measurements, rock-elastic properties, and mineral content analysis using petrophysical analysis on well logs. However, the estimated brittleness using these methods only provides “cylinder” estimates near the (...)
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  3.  30
    A Comparison of Classification Techniques for Seismic Facies Recognition.Tao Zhao, Vikram Jayaram, Atish Roy & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (4):SAE29-SAE58.
    During the past decade, the size of 3D seismic data volumes and the number of seismic attributes have increased to the extent that it is difficult, if not impossible, for interpreters to examine every seismic line and time slice. To address this problem, several seismic facies classification algorithms including [Formula: see text]-means, self-organizing maps, generative topographic mapping, support vector machines, Gaussian mixture models, and artificial neural networks have been successfully used to extract features of geologic interest from multiple volumes. Although (...)
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  4.  22
    Pitfalls and Limitations in Seismic Attribute Interpretation of Tectonic Features.Kurt J. Marfurt & Tiago M. Alves - 2015 - Interpretation: SEG 3 (1):SB5-SB15.
    Seismic attributes are routinely used to accelerate and quantify the interpretation of tectonic features in 3D seismic data. Coherence cubes delineate the edges of megablocks and faulted strata, curvature delineates folds and flexures, while spectral components delineate lateral changes in thickness and lithology. Seismic attributes are at their best in extracting subtle and easy to overlook features on high-quality seismic data. However, seismic attributes can also exacerbate otherwise subtle effects such as acquisition footprint and velocity pull-up/push-down, as well as small (...)
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  5.  20
    Characterizing a Turbidite System in Canterbury Basin, New Zealand, Using Seismic Attributes and Distance-Preserving Self-Organizing Maps.Tao Zhao, Jing Zhang, Fangyu Li & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB79-SB89.
    Recent developments in seismic attributes and seismic facies classification techniques have greatly enhanced the capability of interpreters to delineate and characterize features that are not prominent in conventional 3D seismic amplitude volumes. The use of appropriate seismic attributes that quantify the characteristics of different geologic facies can accelerate and partially automate the interpretation process. Self-organizing maps are a popular seismic facies classification tool that extract similar patterns embedded with multiple seismic attribute volumes. By preserving the distance in the input data (...)
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  6.  27
    Estimation of Total Organic Carbon and Brittleness Volume.Sumit Verma, Tao Zhao, Kurt J. Marfurt & Deepak Devegowda - 2016 - Interpretation: SEG 4 (3):T373-T385.
    The Barnett Shale in the Fort Worth Basin is one of the most important resource plays in the USA. The total organic carbon and brittleness can help to characterize a resource play to assist in the search for sweet spots. Higher TOC or organic content are generally associated with hydrocarbon storage and with rocks that are ductile in nature. However, brittle rocks are more amenable to fracturing with the fractures faces more resistant to proppant embedment. Productive intervals within a resource (...)
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  7.  26
    Mineralogy-Based Brittleness Prediction From Surface Seismic Data: Application to the Barnett Shale.Roderick Perez Altamar & Kurt Marfurt - 2014 - Interpretation: SEG 2 (4):T255-T271.
    Differentiating brittle and ductile rocks from surface seismic data is the key to efficient well location and completion. Brittleness average estimates based only on elastic parameters are easy to use but require empirical calibration. In contrast, brittleness index estimates are based on mineralogy laboratory measurements and, indeed, cannot be directly measured from surface seismic data. These two measures correlate reasonably well in the quartz-rich Barnett Shale, but they provide conflicting estimates of brittleness in the calcite-rich Viola, Forestburg, Upper Barnett, and (...)
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  8.  13
    Fault Damage Zone at Subsurface: A Case Study Using 3D Seismic Attributes and a Clay Model Analog for the Anadarko Basin, Oklahoma.Zonghu Liao, Hui Liu, Zheng Jiang, Kurt J. Marfurt & Ze’ev Reches - 2017 - Interpretation: SEG 5 (2):T143-T150.
    Using 3D seismic attributes and the support of a clay model that served as an analog, we mapped and analyzed a 32 km long, north–south-striking, right-lateral fault in the Woodford Shale, Anadarko Basin, Oklahoma, USA. Volumetric coherence, dip azimuth, and curvature delineated an approximately 1.5 km wide damage zone with multiple secondary faults, folds, and flexures. The clay analog enabled us to identify these features as belonging to a complex transpressional Riedel structure. We also suggest that the damage zone contains (...)
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  9.  55
    Semisupervised Multiattribute Seismic Facies Analysis.Jie Qi, Tengfei Lin, Tao Zhao, Fangyu Li & Kurt Marfurt - 2016 - Interpretation: SEG 4 (1):SB91-SB106.
    One of the key components of traditional seismic interpretation is to associate or “label” a specific seismic amplitude package of reflectors with an appropriate seismic or geologic facies. The object of seismic clustering algorithms is to use a computer to accelerate this process, allowing one to generate interpreted facies for large 3D volumes. Determining which attributes best quantify a specific amplitude or morphology component seen by the human interpreter is critical to successful clustering. Unfortunately, many patterns, such as coherence images (...)
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  10.  39
    Seismic Attenuation Attributes with Applications on Conventional and Unconventional Reservoirs.Fangyu Li, Sumit Verma, Huailai Zhou, Tao Zhao & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB63-SB77.
    Seismic attenuation, generally related to the presence of hydrocarbon accumulation, fluid-saturated fractures, and rugosity, is extremely useful for reservoir characterization. The classic constant attenuation estimation model, focusing on intrinsic attenuation, detects the seismic energy loss because of the presence of hydrocarbons, but it works poorly when spectral anomalies exist, due to rugosity, fractures, thin layers, and so on. Instead of trying to adjust the constant attenuation model to such phenomena, we have evaluated a suite of seismic spectral attenuation attributes to (...)
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  11.  24
    Attribute Expression of Fault-Controlled Karst — Fort Worth Basin, Texas: A Tutorial.Jie Qi, Bo Zhang, Huailai Zhou & Kurt Marfurt - 2014 - Interpretation: SEG 2 (3):SF91-SF110.
    Much of seismic interpretation is based on pattern recognition, such that experienced interpreters are able to extract subtle geologic features that a new interpreter may easily overlook. Seismic pattern recognition is based on the identification of changes in amplitude, phase, frequency, dip, continuity, and reflector configuration. Seismic attributes, which providing quantitative measures that can be subsequently used in risk analysis and data mining, partially automate the pattern recognition problem by extracting key statistical, geometric, or kinematic components of the 3D seismic (...)
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  12.  9
    Seismic Expression and Geomorphology of Igneous Bodies: A Taranaki Basin, New Zealand, Case Study.Lennon Infante-Paez & Kurt J. Marfurt - 2017 - Interpretation: SEG 5 (3):SK121-SK140.
    Very little research has been done on volcanic rocks by the oil industry due to the misconception that these rocks cannot be “good reservoirs.” However, in the past two decades, significant quantities of hydrocarbons have been produced from volcanic rocks in China, New Zealand, and Argentina. In frontier basins, volcanic piles are sometimes misinterpreted to be hydrocarbon anomalies and/or carbonate buildups. Unlike clastic and carbonate systems, the 3D seismic geomorphology of igneous systems is only partially documented. We have integrated 3D (...)
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  13.  38
    Vector Correlation of Amplitude Variation with Azimuth and Curvature in a Post-Hydraulic-Fracture Barnett Shale Survey.Shiguang Guo, Sumit Verma, Qing Wang, Bo Zhang & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB23-SB35.
    Knowledge of induced fractures can help to evaluate the success of reservoir stimulation. Seismic P-waves through fracturing media can exhibit azimuthal variation in traveltime, amplitude, and thin-bed tuning, so amplitude variation with azimuth can be used to evaluate the hydraulic-fracturing-caused anisotropy. The Barnett Shale of the Fort Worth Basin was the first large-scale commercial shale gas play. We have analyzed two adjacent Barnett Shale seismic surveys: one acquired before hydraulic fracturing and the other acquired after hydraulic fracturing by more than (...)
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  14.  30
    Improving the Quality of Prestack Inversion by Prestack Data Conditioning.Bo Zhang, Deshuang Chang, Tengfei Lin & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (1):T5-T12.
    Prestack seismic inversion techniques provide valuable information of rock properties, lithology, and fluid content for reservoir characterization. The confidence of inverted results increases with increasing incident angle of seismic gathers. The most accurate result of simultaneous prestack inversion of P-wave seismic data is P-impedance. S-impedance estimation becomes reliable with incident angles approaching 30°, whereas density evaluation becomes reliable with incident angles approaching 45°. As the offset increases, we often encounter “hockey sticks” and severe stretch at large offsets. Hockey sticks and (...)
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  15.  16
    Techniques and Best Practices in Multiattribute Display.Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (1):B1-B23.
    All color monitors display images by mixing red, green, and blue components. These RGB components can be defined mathematically in terms of hue, lightness, and saturation components. A fourth alpha-blending component provides a means to corender multiple images. Most, but not all, modern commercial interpretation workstation software vendors provide multiattribute display tools using an opacity model. A smaller subset of vendors provide tools to interactively display two or three attributes using HLS, CMY, and RGB color models. I evaluated a technique (...)
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  16.  12
    Multispectral Coherence: Which Decomposition Should We Use?Bin Lyu, Jie Qi, Fangyu Li, Ying Hu, Tao Zhao, Sumit Verma & Kurt J. Marfurt - 2020 - Interpretation 8 (1):T115-T129.
    Seismic coherence is commonly used to delineate structural and stratigraphic discontinuities. We generally use full-bandwidth seismic data to calculate coherence. However, some seismic stratigraphic features may be buried in this full-bandwidth data but can be highlighted by certain spectral components. Due to thin-bed tuning phenomena, discontinuities in a thicker stratigraphic feature may be tuned and thus better delineated at a lower frequency, whereas discontinuities in the thinner units may be tuned and thus better delineated at a higher frequency. Additionally, whether (...)
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  17.  12
    Display and Enhancement of Volumetric Fault Images.Gabriel Machado, Abdulmohsen Alali, Bryce Hutchinson, Oluwatobi Olorunsola & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB51-SB61.
    Fault picking is a critical, but human-labor-intensive component of seismic interpretation. In a bid to improve fault imaging in seismic data, we have applied a directional Laplacian of a Gaussian operator to sharpen fault features within a coherence volume. We computed an [Formula: see text] matrix of the second moment tensor distance-weighted coherence values that fell within a 3D analysis window about each voxel. The eigenvectors of this matrix defined the orientation of planar discontinuities, whereas the corresponding eigenvalues determined whether (...)
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  18.  19
    Constraining Self-Organizing Map Facies Analysis with Stratigraphy: An Approach to Increase the Credibility in Automatic Seismic Facies Classification.Tao Zhao, Fangyu Li & Kurt J. Marfurt - 2017 - Interpretation: SEG 5 (2):T163-T171.
    Pattern recognition-based seismic facies analysis techniques are commonly used in modern quantitative seismic interpretation. However, interpreters often treat techniques such as artificial neural networks and self-organizing maps as a “black box” that somehow correlates a suite of attributes to a desired geomorphological or geomechanical facies. Even when the statistical correlations are good, the inability to explain such correlations through principles of geology or physics results in suspicion of the results. The most common multiattribute facies analysis begins by correlating a suite (...)
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  19.  22
    Noise Suppression of Time-Migrated Gathers Using Prestack Structure-Oriented Filtering.Bo Zhang, Tengfei Lin, Shiguang Guo, Oswaldo E. Davogustto & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (2):SG19-SG29.
    Prestack seismic analysis provides information on rock properties, lithology, fluid content, and the orientation and intensity of anisotropy. However, such analysis demands high-quality seismic data. Unfortunately, noise is always present in seismic data even after careful processing. Noise in the prestack gathers may not only contaminate the seismic image, thereby lowering the quality of seismic interpretation, but it may also bias the seismic prestack inversion for rock properties, such as acoustic- and shear-impedance estimation. Common postmigration data conditioning includes running window (...)
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  20.  7
    Resolving Subtle Stratigraphic Features Using Spectral Ridges and Phase Residues.Oswaldo Davogustto, Marcílio Castro de Matos, Carlos Cabarcas, Toan Dao & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (1):SA93-SA108.
    Seismic interpretation is dependent on the quality and resolution of seismic data. Unfortunately, seismic amplitude data are often insufficient for detailed sequence stratigraphy interpretation. We reviewed a method to derive high-resolution seismic attributes based upon complex continuous wavelet transform pseudodeconvolution and phase-residue techniques. The PD method is based upon an assumption of a blocky earth model that allowed us to increase the frequency content of seismic data that, for our data, better matched the well log control. The phase-residue technique allowed (...)
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  21.  7
    Volumetric Aberrancy to Map Subtle Faults and Flexures.Xuan Qi & Kurt Marfurt - 2018 - Interpretation 6 (2):T349-T365.
    One of the key tasks of a seismic interpreter is to map lateral changes in surfaces, not only including faults, folds, and flexures, but also incisements, diapirism, and dissolution features. Volumetrically, coherence provides rapid visualization of faults and curvature provides rapid visualization of folds and flexures. Aberrancy measures the lateral change of curvature along a picked or inferred surface. Aberrancy complements curvature and coherence. In normally faulted terrains, the aberrancy anomaly will track the coherence anomaly and fall between the most (...)
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  22.  5
    Volumetric Aberrancy to Map Subtle Faults and Flexures.Xuan Qi & Kurt Marfurt - 2018 - Interpretation: SEG 6 (2):T349-T365.
    One of the key tasks of a seismic interpreter is to map lateral changes in surfaces, not only including faults, folds, and flexures, but also incisements, diapirism, and dissolution features. Volumetrically, coherence provides rapid visualization of faults and curvature provides rapid visualization of folds and flexures. Aberrancy measures the lateral change of curvature along a picked or inferred surface. Aberrancy complements curvature and coherence. In normally faulted terrains, the aberrancy anomaly will track the coherence anomaly and fall between the most (...)
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  23.  4
    Coherence Attribute Applications on Seismic Data in Various Guises — Part 1.Satinder Chopra & Kurt J. Marfurt - 2018 - Interpretation: SEG 6 (3):T521-T529.
    The iconic coherence attribute is very useful for imaging geologic features such as faults, deltas, submarine canyons, karst collapse, mass-transport complexes, and more. In addition to its preconditioning, the interpretation of discrete stratigraphic features on seismic data is also limited by its bandwidth, where in general the data with higher bandwidth yield crisper features than data with lower bandwidth. Some form of spectral balancing applied to the seismic amplitude data can help in achieving such an objective so that coherence run (...)
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  24.  11
    Multispectral, Multiazimuth, and Multioffset Coherence Attribute Applications.Satinder Chopra & Kurt J. Marfurt - 2019 - Interpretation 7 (2):SC21-SC32.
    The coherence attribute computation is typically carried out as a poststack application on 3D prestack migrated seismic data volumes. However, since its inception, interpreters have applied coherence to band-pass-filtered data, azimuthally limited stacks, and offset-limited stacks to enhance discontinuities seen at specific frequencies, azimuths, and offsets. The limitation of this approach is the multiplicity of coherence volumes. Of the various coherence algorithms that have evolved over the past 25 years, the energy ratio coherence computation stands apart from the others, being (...)
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  25.  21
    Data Conditioning of Legacy Seismic Using Migration-Driven 5D Interpolation.Sumit Verma, Shiguang Guo & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (2):SG31-SG40.
    Legacy seismic surveys cover much of the midcontinent USA and Texas, with almost all 3D surveys acquired in the 1990s considered today to be low fold. Fortunately, recent advances in 5D interpolation have not only enhanced the quality of structural and stratigraphic images, but they have also improved the data sufficiently to allow more quantitative interpretation, such as impedance inversion. Although normal-moveout-corrected, common-midpoint-based 5D interpolation does an excellent job of amplitude balancing and the suppression of acquisition footprint, it appears to (...)
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  26.  20
    Pitfalls in Seismic Processing: An Application of Seismic Modeling to Investigate Acquisition Footprint.Marcus P. Cahoj, Sumit Verma, Bryce Hutchinson & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (2):SG1-SG9.
    The term acquisition footprint is commonly used to define patterns in seismic time and horizon slices that are closely correlated to the acquisition geometry. Seismic attributes often exacerbate footprint artifacts and may pose pitfalls to the less experienced interpreter. Although removal of the acquisition footprint is the focus of considerable research, the sources of such artifact acquisition footprint are less commonly discussed or illustrated. Based on real data examples, we have hypothesized possible causes of footprint occurrence and created them through (...)
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  27.  6
    A Window Into the Proterozoic: Integrating 3D Seismic, Gravity, and Magnetic Data to Image Subbasement Structures in the Southeast Fort Worth Basin.Murari Khatiwada, G. Randy Keller & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (2):T125-T141.
    The Fort Worth basin is one of the most fully developed shale gas fields in North America. Although there are hundreds of drilled wells in the basin, almost none of them reach the Precambrian basement. Imaged by perhaps 100 3D seismic surveys, the focus on the relatively shallow, flat-lying Barnett Shale objective has resulted in little published work on the basement structures underlying the Lower Paleozoic strata. Subtle folds and systems of large joints are present in almost all 3D seismic (...)
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  28.  16
    Seismic-Petrophysical Reservoir Characterization in the Northern Part of the Chicontepec Basin, Mexico.Supratik Sarkar, Sumit Verma & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (3):T403-T417.
    The Chicontepec Formation in east-central Mexico is comprised of complex unconventional reservoirs consisting of low-permeability disconnected turbidite reservoir facies. Hydraulic fracturing increases permeability and joins these otherwise tight reservoirs. We use a recently acquired 3D seismic survey and well control to divide the Chicontepec reservoir interval in the northern part of the basin into five stratigraphic units, equivalent to global third-order seismic sequences. By combining well-log and core information with principles of seismic geomorphology, we are able to map deepwater facies (...)
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  29.  14
    Identification of Brittle/Ductile Areas in Unconventional Reservoirs Using Seismic and Microseismic Data: Application to the Barnett Shale.Roderick Perez Altamar & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (4):T233-T243.
    Brittleness in unconventional reservoirs is mainly controlled by mineralogy, and it increases with quartz and dolomite content, whereas an increase in the clay content represents an increase in ductility. To generate regional brittleness maps, we have correlated the mineralogy-based brittleness index to elastic parameters measured from well logs. This correlation can then be used to predict the brittleness from surface seismic elastic parameter estimates of [Formula: see text] and [Formula: see text]. We applied the workflow to a 3D seismic survey (...)
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  30.  22
    Seismic Azimuthal Anisotropy Analysis After Hydraulic Fracturing.Kui Zhang, Yanxia Guo, Bo Zhang, Amanda M. Trumbo & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (2):SB27-SB36.
    Many tight sandstone, limestone, and shale reservoirs require hydraulic fracturing to provide pathways that allow hydrocarbons to reach the well bore. Most of these tight reservoirs are now produced using multiple stages of fracturing through horizontal wells drilled perpendicular to the present-day azimuth of maximum horizontal stress. In a homogeneous media, the induced fractures are thought to propagate perpendicularly to the well, parallel to the azimuth of maximum horizontal stress, thereby efficiently fracturing the rock and draining the reservoir. We evaluated (...)
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  31.  5
    Characterizing a Mississippian Tripolitic Chert Reservoir Using 3D Unsupervised and Supervised Multiattribute Seismic Facies Analysis: An Example From Osage County, Oklahoma.Atish Roy, Benjamin L. Dowdell & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (2):SB109-SB124.
    Seismic interpretation is based on the identification of reflector configuration and continuity, with coherent reflectors having a distinct amplitude, frequency, and phase. Skilled interpreters may classify reflector configurations as parallel, converging, truncated, or hummocky, and use their expertise to identify stratigraphic packages and unconformities. In principal, a given pattern can be explicitly defined as a combination of waveform and reflector configuration properties, although such “clustering” is often done subconsciously. Computer-assisted classification of seismic attribute volumes builds on the same concepts. Seismic (...)
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  32.  16
    Qualities of a Good Reviewer.Huyen Bui, Dallas Dunlap, Thomas Hearon, Donald Herron, Chaoli Lan, Shu Jiang, Kurt Marfurt, Balazs Nemeth, Osareni Ogiesoba, Gerard Schuster & Hongliu Zeng - 2017 - Interpretation: SEG 5 (3):1A-3A.
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  33.  16
    Volumetric Fault Image Enhancement — Some Applications.Satinder Chopra & Kurt J. Marfurt - 2017 - Interpretation: SEG 5 (2):T151-T161.
    The interpretation of faults on 3D seismic data is often aided by the use of geometric attributes such as coherence and curvature. Unfortunately, these same attributes also delineate stratigraphic boundaries and apparent discontinuities due to cross-cutting seismic noise. Effective fault mapping thus requires enhancing piecewise continuous faults and suppressing stratabound edges and unconformities as well as seismic noise. To achieve this objective, we apply two passes of edge-preserving structure-oriented filtering followed by a recently developed fault enhancement algorithm based on a (...)
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  34.  7
    Independent Component Analysis for Reservoir Geomorphology and Unsupervised Seismic Facies Classification in the Taranaki Basin, New Zealand.David Lubo-Robles & Kurt J. Marfurt - 2019 - Interpretation 7 (3):SE19-SE42.
    During the past two decades, the number of volumetric seismic attributes has increased to the point at which interpreters are overwhelmed and cannot analyze all of the information that is available. Principal component analysis is one of the best-known multivariate analysis techniques that decompose the input data into second-order statistics by maximizing the variance, thus obtaining mathematically uncorrelated components. Unfortunately, projecting the information in the multiple input data volumes onto an orthogonal basis often mixes rather than separates geologic features of (...)
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  35.  7
    Convolutional Neural Networks as Aid in Core Lithofacies Classification.Rafael Pires de Lima, Fnu Suriamin, Kurt J. Marfurt & Matthew J. Pranter - 2019 - Interpretation 7 (3):SF27-SF40.
    Artificial intelligence methods have a very wide range of applications. From speech recognition to self-driving cars, the development of modern deep-learning architectures is helping researchers to achieve new levels of accuracy in different fields. Although deep convolutional neural networks have reached or surpassed human-level performance in image recognition tasks, little has been done to transport this new image classification technology to geoscientific problems. We have developed what we believe to be the first use of CNNs to identify lithofacies in cores. (...)
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  36.  6
    Generative Topographic Mapping for Seismic Facies Estimation of a Carbonate Wash, Veracruz Basin, Southern Mexico.Atish Roy, Araceli S. Romero-Peláez, Tim J. Kwiatkowski & Kurt J. Marfurt - 2014 - Interpretation: SEG 2 (1):SA31-SA47.
    Seismic facies estimation is a critical component in understanding the stratigraphy and lithology of hydrocarbon reservoirs. With the adoption of 3D technology and increasing survey size, manual techniques of facies classification have become increasingly time consuming. Besides, the numbers of seismic attributes have increased dramatically, providing increasingly accurate measurements of reflector morphology. However, these seismic attributes add multiple “dimensions” to the data greatly expanding the amount of data to be analyzed. Principal component analysis and self-organizing maps are popular techniques to (...)
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  37.  8
    Quantifying the Significance of Coherence Anomalies.Tengfei Lin, Thang Ha, Kurt J. Marfurt & Kevin L. Deal - 2016 - Interpretation: SEG 4 (2):T205-T213.
    Semblance and other coherence measures are routinely used in seismic processing, such as velocity spectra analysis, in seismic interpretation to estimate volumetric dip and to delineate geologic boundaries, and in poststack and prestack data conditioning such as edge-preserving structure-oriented filtering. Although interpreters readily understand the significance of outliers for such measures as seismic amplitude being described by a Gaussian distribution, and root-mean-square amplitude by a log-normal distribution, the measurement significance of a given coherence of poststack seismic data is much more (...)
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  38.  22
    Seismic Attribute Driven Integrated Characterization of the Woodford Shale in West-Central Oklahoma.Nabanita Gupta, Supratik Sarkar & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (2):SB85-SB96.
    The organic-rich, silty Woodford Shale in west-central Oklahoma is a prolific resource play producing gas and liquid hydrocarbons. We calibrated seismic attributes and prestack inversion using well logs and core information within a seismic geomorphologic framework to define the overall basin architecture, major stratigraphic changes, and related variations in lithologies. Core measurements of elastic moduli and total organic content indicated that the Woodford Shale can be broken into three elastic petrotypes important to well completion and hydrocarbon enrichment. Upscaling these measurements (...)
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  39.  5
    Improving Seismic Resolution of Prestack Time-Migrated Data.Onur Mutlu & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (4):T245-T255.
    Seismic resolution significantly affects the quality of seismic interpretation. Processing parameters that effect resolution such as picking velocities in the presence of interbed multiples benefit from an understanding of the underlying geology. Three-dimensional migration is almost always performed by an external service company or internal specialty processing group, with the “final” product being migrated gathers and the final migration-stack section. In the Chicontepec Basin, Mexico, we have evaluated improvements in data quality made after 3D prestack time migration. By first mapping (...)
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  40.  9
    Strategies on Obtaining Permission to Publish.Kurt J. Marfurt, Don Herron, Brad Wallet, Balazs Nemeth & Oswaldo Davogustto-Cataldo - 2018 - Interpretation: SEG 6 (4):1N-3N.
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  41.  5
    The Value of Constrained Conjugate-Gradient Least-Squares Migration in Seismic Inversion: Application to a Fractured-Basement Play, Texas Panhandle.Thang Ha & Kurt Marfurt - 2017 - Interpretation: SEG 5 (3):SN13-SN23.
    Seismic inversion has become almost routine in quantitative 3D seismic interpretation. To ensure the quality of the seismic inversion, the input seismic data need to have a high signal-to-noise ratio. With the current low oil price environment, seismic reprocessing is often preferred over reacquisition to improve data quality. Common filter pairs include forward and inverse [Formula: see text]-[Formula: see text] and Radon transforms. Forward and inverse migrations are a more recently introduced transform pair that, when used together in an iterative (...)
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  42.  18
    Recent Progress in Analysis of Seismically Thin Beds.Hongliu Zeng & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (3):SS15-SS22.
    Various approaches exist for quantitative or qualitative predictions of seismically thin beds and their physical properties. The evolving definition of thin beds, the use of seismic attributes indicative of thin beds, thin-bed imaging on geologic-time surfaces, and thin-bed thickness estimation represent some of the most active aspects of the research and application. We reviewed some theoretical and technological developments in thin-bed analysis over recent decades. We also reviewed the data processing steps that affect seismic resolution and thin-bed evaluation.
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  43.  19
    Roles and Responsibilities of the Special-Section Editor.Kurt Marfurt, Gerald Schuster, Sheral Danker, Balazs Nemeth, Huyen Bui & Hongliu Zeng - 2017 - Interpretation: SEG 5 (4):1N-3N.
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  44.  3
    Attribute-Assisted Footprint Suppression Using a 2D Continuous Wavelet Transform.Abdulmohsen Alali, Gabriel Machado & Kurt J. Marfurt - 2018 - Interpretation 6 (2):T457-T470.
    Acquisition footprint manifests itself on 3D seismic data as a repetitive pattern of noise, anomalously high amplitudes, or structural shifts on time or horizon slices that is correlated to the location of the sources and receivers on the earth’s surface. Ideally, footprint suppression should be handled by denser seismic acquisition and more careful prestack processing prior to seismic imaging. In the case in which only legacy data exist, or when economic and time constraints preclude more expensive acquisition and more careful (...)
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  45.  2
    Attribute-Assisted Footprint Suppression Using a 2D Continuous Wavelet Transform.Abdulmohsen Alali, Gabriel Machado & Kurt J. Marfurt - 2018 - Interpretation: SEG 6 (2):T457-T470.
    Acquisition footprint manifests itself on 3D seismic data as a repetitive pattern of noise, anomalously high amplitudes, or structural shifts on time or horizon slices that is correlated to the location of the sources and receivers on the earth’s surface. Ideally, footprint suppression should be handled by denser seismic acquisition and more careful prestack processing prior to seismic imaging. In the case in which only legacy data exist, or when economic and time constraints preclude more expensive acquisition and more careful (...)
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  46.  5
    Effect of Volcanic Bodies on Hydrocarbon Reservoirs in the Northeastern Part of the Chicontepec Foredeep, Mexico.Supratik Sarkar & Kurt J. Marfurt - 2017 - Interpretation: SEG 5 (3):SK1-SK10.
    Shallow intrusive and extrusive volcanic events are common in the northeastern part of Chicontepec Foredeep where the close proximity of these volcanic bodies add to the complexity of the Paleocene-Eocene age tight and complex turbidite reservoirs. In accordance with studies in other basins, outcrop analogs of the Chicontepec reservoirs indicate the potential of enhanced natural fracturing and hence the increase of effective porosity in the host rock. We focus on exploring the validity of this observation in seismic and well data, (...)
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  47.  12
    Let’s Get Animated!Kurt J. Marfurt & Isaac Farley - 2016 - Interpretation: SEG 4 (2):1M-5M.
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  48.  7
    Seismic Characterization of a Mississippi Lime Resource Play in Osage County, Oklahoma, USA.Benjamin L. Dowdell, J. Tim Kwiatkowski & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (2):SB97-SB108.
    With the advent of horizontal drilling and hydraulic fracturing in the Midcontinent, USA, fields once thought to be exhausted are now experiencing renewed exploitation. However, traditional Midcontinent seismic analysis techniques no longer provide satisfactory reservoir characterization for these unconventional plays; new seismic analysis methods are needed to properly characterize these radically innovative play concepts. Time processing and filtering is applied to a raw 3D seismic data set from Osage County, Oklahoma, paying careful attention to velocity analysis, residual statics, and coherent (...)
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  49.  5
    Stairway to Heaven: Building Upon and Properly Citing Previous Work.Kurt J. Marfurt & Ted Bakamjian - 2016 - Interpretation: SEG 4 (4):1N-6N.
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    Introduction to Special Section: Pattern Recognition and Machine Learning.Vikram Jayaram, Per Age Avseth, Kostia Azbel, Theirry Coléou, Deepak Devegowda, Paul de Groot, Dengliang Gao, Kurt Marfurt, Marcilio Matos, Tapan Mukerji, Manuel Poupon, Atish Roy, Brian Russell, Brad Wallet & Vikas Kumar - 2015 - Interpretation: SEG 3 (4):SAEi-SAEii.
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