Relevant bibliographies by topics / 3D seismic interpretation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic '3D seismic interpretation'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "3D seismic interpretation"

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Roberts, D. G. "3D Seismic Interpretation." Marine and Petroleum Geology 21, no. 3 (2004): 422. http://dx.doi.org/10.1016/j.marpetgeo.2004.03.001.

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Brown, Alistair R. "Pitfalls in 3D seismic interpretation." Leading Edge 24, no. 7 (2005): 716–17. http://dx.doi.org/10.1190/1.1993265.

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Dirstein, James K., and Gary N. Fallon. "Automated interpretation of 3D seismic." Preview 2011, no. 151 (2011): 30–37. http://dx.doi.org/10.1071/pvv2011n151p30.

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Halpert, Adam D., Robert G. Clapp, and Biondo Biondi. "Salt delineation via interpreter-guided 3D seismic image segmentation." Interpretation 2, no. 2 (2014): T79—T88. http://dx.doi.org/10.1190/int-2013-0159.1.

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Although it is a crucial component of seismic velocity model building, salt delineation is often a major bottleneck in the interpretation workflow. Automatic methods like image segmentation can help to alleviate this bottleneck, but issues with accuracy and efficiency can hinder their effectiveness. However, a new graph-based segmentation algorithm can, after modifications to account for the unique nature of seismic data, quickly and accurately delineate salt bodies on 3D seismic images. In areas where salt boundaries are poorly imaged, limited manual interpretations can be used to guide the automatic segmentation, allowing for interpreter insight to be combined with modern computational capabilities. A successful 3D field data example demonstrates that this method could become an important tool for interactive interpretation tasks.
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Gao, Dengliang. "Volume texture extraction for 3D seismic visualization and interpretation." GEOPHYSICS 68, no. 4 (2003): 1294–302. http://dx.doi.org/10.1190/1.1598122.

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Visual inspection of poststack seismic image patterns is effective in recognizing large‐scale seismic features; however, it is not effective in extracting quantitative information to visualize, detect, and map seismic features in an automatic and objective manner. Although conventional seismic attributes have significantly enhanced interpreters' ability to quantify seismic visualization and interpretation, very few attributes are published to characterize both intratrace and intertrace relationships of amplitudes from a three‐dimensional (3D) perspective. These relationships are fundamental to the characterization and identification of certain geological features. Here, I present a volume texture extraction method to overcome these limitations. In a two‐dimensional (2D) image domain where data samples are visualized by pixels (picture elements), a texture has been typically characterized based on a planar texel (textural element) using a gray level co‐occurrence matrix. I extend the concepts to a 3D seismic domain, where reflection amplitudes are visualized by voxels (volume picture elements). By evaluating a voxel co‐occurrence matrix (VCM) based on a cubic texel at each of the voxel locations, the algorithm extracts a plurality of volume textural attributes that are difficult to obtain using conventional seismic attribute extraction algorithms. Case studies indicate that the VCM texture extraction method helps visualize and detect major structural and stratigraphic features that are fundamental to robust seismic interpretation and successful hydrocarbon exploration.
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Di, Haibin, Cen Li, Stewart Smith, Zhun Li, and Aria Abubakar. "Imposing interpretational constraints on a seismic interpretation convolutional neural network." GEOPHYSICS 86, no. 3 (2021): IM63—IM71. http://dx.doi.org/10.1190/geo2020-0449.1.

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With the expanding size of 3D seismic data, manual seismic interpretation becomes time-consuming and labor-intensive. For automating this process, recent progress in machine learning, in particular the convolutional neural network (CNN), has been introduced into the seismic community and successfully implemented for interpreting seismic structural and stratigraphic features. In principle, such automation aims at mimicking the intelligence of experienced seismic interpreters to annotate subsurface geology accurately and efficiently. However, most of the implementations and applications are relatively simple in their CNN architectures, which primary rely on the seismic amplitude but undesirably fail to fully use the preknown geologic knowledge and/or solid interpretational rules of an experienced interpreter who works on the same task. We have developed a generally applicable framework for integrating a seismic interpretation CNN with such commonly used knowledge and rules as constraints. Three example use cases, including relative geologic time-guided facies analysis, layer-customized fault detection, and fault-oriented stratigraphy mapping, are provided for illustrating how one or more constraints can be technically imposed and demonstrating what added values such a constrained CNN can bring. It is concluded that the imposition of interpretational constraints is capable of improving CNN-assisted seismic interpretation and better assisting the tasks of subsurface mapping and modeling.
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Ali, Kamal. "3D SEISMIC ATTRIBUTES INTERPRETATION OF ZUBAIR FORMATION IN AL-AKHAIDEIR AREA, SOUTHWESTERN KARBALA." Iraqi Geological Journal 53, no. 1D (2020): 17–25. http://dx.doi.org/10.46717/igj.53.1d.2rw-2020-05-01.

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Wrona, Thilo, Indranil Pan, Rebecca E. Bell, Robert L. Gawthorpe, Haakon Fossen, and Sascha Brune. "3D seismic interpretation with deep learning: A brief introduction." Leading Edge 40, no. 7 (2021): 524–32. http://dx.doi.org/10.1190/tle40070524.1.

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Understanding the internal structure of our planet is a fundamental goal of the earth sciences. As direct observations are restricted to surface outcrops and borehole cores, we rely on geophysical data to study the earth's interior. In particular, seismic reflection data showing acoustic images of the subsurface provide us with critical insights into sedimentary, tectonic, and magmatic systems. However, interpretations of these large 2D grids or 3D seismic volumes are time-consuming, even for a well-trained person or team. Here, we demonstrate how to automate and accelerate the analysis of these increasingly large seismic data sets with machine learning. We are able to perform typical seismic interpretation tasks such as mapping tectonic faults, salt bodies, and sedimentary horizons at high accuracy using deep convolutional neural networks. We share our workflows and scripts, encouraging users to apply our methods to similar problems. Our methodology is generic and flexible, allowing an easy adaptation without major changes. Once trained, these models can analyze large volumes of data within seconds, opening a new pathway to study the processes shaping the internal structure of our planet.
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Paumard, Victorien, Julien Bourget, Benjamin Durot, et al. "Full-volume 3D seismic interpretation methods: A new step towards high-resolution seismic stratigraphy." Interpretation 7, no. 3 (2019): B33—B47. http://dx.doi.org/10.1190/int-2018-0184.1.

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Following decades of technological innovation, geologists now have access to extensive 3D seismic surveys across sedimentary basins. Using these voluminous data sets to better understand subsurface complexity relies on developing seismic stratigraphic workflows that allow very high-resolution interpretation within a cost-effective timeframe. We have developed an innovative 3D seismic interpretation workflow that combines full-volume and semi-automated horizon tracking with high-resolution 3D seismic stratigraphic analysis. The workflow consists of converting data from seismic (two-way traveltime) to a relative geological time (RGT) volume, in which a relative geological age is assigned to each point of the volume. The generation of a horizon stack is used to extract an unlimited number of chronostratigraphic surfaces (i.e., seismic horizons). Integrated stratigraphic tools may be used to navigate throughout the 3D seismic data to pick seismic unconformities using standard seismic stratigraphic principles in combination with geometric attributes. Here, we applied this workflow to a high-quality 3D seismic data set located in the Northern Carnarvon Basin (North West Shelf, Australia) and provided an example of high-resolution seismic stratigraphic interpretation from an Early Cretaceous shelf-margin system (Lower Barrow Group). This approach is used to identify 73 seismic sequences (i.e., clinothems) bounded by 74 seismic unconformities. Each clinothem presents an average duration of approximately 63,000 years (fifth stratigraphic order), which represents an unprecedented scale of observation for a Cretaceous depositional system on seismic data. This level of interpretation has a variety of applications, including high-resolution paleogeographical reconstructions and quantitative analysis of subsurface data. This innovative workflow constitutes a new step in seismic stratigraphy because it enables interpreters to map seismic sequences in a true 3D environment by taking into account the full variability of depositional systems at high frequency through time and space.
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Young, Anthony J., and Robert R. Coenraads. "A 3D seismic interpretation–Flounder Field, Gippsland Basin." Exploration Geophysics 18, no. 1-2 (1987): 235–38. http://dx.doi.org/10.1071/eg987235.

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Dissertations / Theses on the topic "3D seismic interpretation"

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Wu, Xinming. "3D seismic image processing for interpretation." Thesis, Colorado School of Mines, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10111868.

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<p> Extracting fault, unconformity, and horizon surfaces from a seismic image is useful for interpretation of geologic structures and stratigraphic features. Although interpretation of these surfaces has been automated to some extent by others, significant manual effort is still required for extracting each type of these geologic surfaces. I propose methods to automatically extract all the fault, unconformity, and horizon surfaces from a 3D seismic image. To a large degree, these methods just involve image processing or array processing which is achieved by efficiently solving partial differential equations. </p><p> For fault interpretation, I propose a linked data structure, which is simpler than triangle or quad meshes, to represent a fault surface. In this simple data structure, each sample of a fault corresponds to exactly one image sample. Using this linked data structure, I extract complete and intersecting fault surfaces without holes from 3D seismic images. I use the same structure in subsequent processing to estimate fault slip vectors. I further propose two methods, using precomputed fault surfaces and slips, to undo faulting in seismic images by simultaneously moving fault blocks and faults themselves. </p><p> For unconformity interpretation, I first propose a new method to compute a unconformity likelihood image that highlights both the termination areas and the corresponding parallel unconformities and correlative conformities. I then extract unconformity surfaces from the likelihood image and use these surfaces as constraints to more accurately estimate seismic normal vectors that are discontinuous near the unconformities. Finally, I use the estimated normal vectors and use the unconformities as constraints to compute a flattened image, in which seismic reflectors are all flat and vertical gaps correspond to the unconformities. Horizon extraction is straightforward after computing a map of image flattening; we can first extract horizontal slices in the flattened space and then map these slices back to the original space to obtain the curved seismic horizon surfaces. </p><p> The fault and unconformity processing methods above facilitate automatic flattening and horizon extraction by providing an unfaulted image with continuous reflectors across faults and unconformities as constraints for an automatic flattening method. However, human interaction is still desirable for flattening and horizon extraction because of limitations in seismic imaging and computing systems, but the interaction can be enhanced. Instead of picking or tracking horizons one at a time, I propose a method to compute a volume of horizons that honor interpreted constraints, specified as sets of control points in a seismic image. I incorporate the control points with simple constraint preconditioners in the conjugate gradient method used to compute horizons.</p>
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Akbar, Omar. "3D Seismic Interpretation of Turbidite-Sands from the Gulf of Mexico." ScholarWorks@UNO, 2005. http://scholarworks.uno.edu/td/286.

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This thesis interprets and maps some key stratigraphic and structural elements of Garden Bank (GB) Block 191 applying both geological and geophysical techniques. The area is located in the Gulf of Mexico 160 miles southwest of Lafayette. Threedimensional seismic data and some well logs were integrated and analyzed to construct a reasonable geological subsurface image. GeoFrame software from Schlumberger was used in this research. A spatial attention was given to salt diapers. Their influence on sand accumulations and hydrocarbon traps were investigated. Two Pleistocene sands accumulations (4500-ft & 8500-ft) were examine thoroughly in this research. Time and amplitude maps were produced. In addition, a wave-theoretical model that describes salt tectonic activities within the area was reconstructed in order to understand the influence of these dynamical forces on the overlaying strata.
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Caetano, Esperanca Luisa. "3D seismic interpretation in a deep-water depositional environment from Lower Congo Basin." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22744.

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This Master of Science (M.Sc.) thesis focuses on the detailed characterization and interpretation of deep-water depositional system within Lower Congo Basin, offshore Angola. The application of seismic geomorphology has helped decipher and characterize complex sedimentary architectures, and identify a rage of geomorphic elements including channel complexes, sedimentary waves and mass transport deposits. Mapping these features using 3D visualization techniques and workflows facilitates a more detailed understanding of how depositional geometry responds to spatial and temporal variations in tectonic deformation, and subsidence and the creation or destruction of accommodation and sediment supply. Ultimately, this approach illustrates how in data limited environments, the effective integration of seismic stratigraphy and geomorphology is key to the reduction of uncertainty with respect, to reservoir prediction and connectivity in exploration.
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Rowe, Craig A. "A novel 3D transition zone seismic survey, Shoal Point, Port au Port Peninsula, Newfoundland : seismic data processing and interpretation /." Internet access available to MUN users only, 2003. http://collections.mun.ca/u?/theses,59416.

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Afsar, Fatima. "ANALYSIS AND INTERPRETATION OF 2D/3D SEISMIC DATA OVER DHURNAL OIL FIELD, NORTHERN PAKISTAN." Thesis, Uppsala universitet, Geofysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202565.

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The study area, Dhurnal oil field, is located 74 km southwest of Islamabad in the Potwar basin of Pakistan. Discovered in March 1984, the field was developed with four producing wells and three water injection wells. Three main limestone reservoirs of Eocene and Paleocene ages are present in this field. These limestone reservoirs are tectonically fractured and all the production is derived from these fractures. The overlying claystone formation of Miocene age provides vertical and lateral seal to the Paleocene and Permian carbonates. The field started production in May 1984, reaching a maximum rate of 19370 BOPD in November 1989. Currently Dhurnal‐1 (D-1) and Dhurnal‐6 (D-6) wells are producing 135 BOPD and 0.65 MMCF/D gas. The field has depleted after producing over 50 million Bbls of oil and 130 BCF of gas from naturally fractured low energy shelf carbonates of the Eocene, Paleocene and Permian reservoirs. Preliminary geological and geophysical data evaluation of Dhurnal field revealed the presence of an up-dip anticlinal structure between D-1 and D-6 wells, seen on new 2003 reprocessed data. However, this structural impression is not observed on old 1987 processed data. The aim of this research is to compare and evaluate old and new reprocessed data in order to identify possible factors affecting the structural configuration. For this purpose, a detailed interpretation of old and new reprocessed data is carried out and results clearly demonstrate that structural compartmentalization exists in Dhurnal field (based on 2003 data). Therefore, to further analyse the available data sets, processing sequences pertaining to both vintages have been examined. After great effort and detailed investigation, it is concluded that the major parameter giving rise to this data discrepancy is the velocity analysis done with different gridding intervals. The detailed and dense velocity analysis carried out on the data in 2003 was able to image the subtle anticlinal feature, which was missed on the 1987 processed seismic data due to sparse gridding. In addition to this, about 105 sq.km 3D seismic data recently (2009) acquired by Ocean Pakistan Limited (OPL) is also interpreted in this project to gain greater confidence on the results. The 3D geophysical interpretation confirmed the findings and aided in accurately mapping the remaining hydrocarbon potential of Dhurnal field.
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Frey-Martinez, Jose. "3D seismic interpretation of soft-sediment deformational processes offshore Israel : implications for hydrocarbon prospectivity." Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/55983/.

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This thesis uses a combination of industry seismic (2D and 3D) and well data to investigate the typologies, genetics and mechanisms of soft-sediment deformational processes on the continental margin of Israel and their impact on the exploration and production of hydrocarbons. Research has been focused on the two major types of soft-sediment deformation in the region: clastic diapirism and submarine slope instability (i.e. submarine slumping). Such processes have occurred almost continuously throughout the post-Messinian history of the Israeli margin, and have played a critical role in its overall evolution and construction. Detailed analysis of the timing of occurrence, areal distribution and 3D appearance of the resultant structures has enabled an enhanced understanding of the causes, processes and results of soft- sediment deformational events to be obtained. Clastic diapirism occurred during the first stages of refilling of the Mediterranean Sea after the Messinian Salinity Crisis, and was restricted to an area underlain by the Afiq Submarine Canyon (Oligocene in origin). The resultant bodies correspond to a series of four-way dip mounded features, and ridge-like structures that are mainly distributed along the axis and one of the flanks of the canyon, respectively. Seismicity and hydrocarbon generation have been proposed here as the main triggering mechanisms. Clastic diapirism plays a decisive role in the hydrocarbon prospectivity of the region as it largely modifies the reservoir properties and architectures of the largest accumulations of hydrocarbons discovered to date in Israel. Submarine slope instability (i.e. submarine slumping) is the second dominant typology of soft-sediment deformation in the continental margin of Israel. Submarine slumping initiated during the Late Pliocene with the Israel Slump Complex (ISC), one of the biggest submarine slump deposits in the world described to date. Since then, slope failure has occurred almost continually up to the present day. Submarine failure in the area is linked to the dynamics of subsidence and deformation of the transform margin of the eastern Mediterranean. Seismicity and presence of gas in the sediments, together with localised oversteepening, have been proposed as the main triggering mechanisms. The high spatial resolution provided by the 3D seismic data has enabled two principal types of submarine landslides to be distinguished according to their mechanism of frontal emplacement: frontally confined and emergent. In the first, the landslide undergoes a restricted downslope displacement and does not overrun the undeformed downslope strata. In the second significant downslope translation occurs since the landslide is able to abandon its original basal shear surface and translate freely over the seafloor. Such division is of critical importance as the formational mechanisms, and processes of translation and cessation are fundamentally different.
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Barker, Abram Max. "An Integrated Well Log and 3D Seismic Interpretation of Missourian Clinoforms, Osage County, Oklahoma." Thesis, University of Arkansas, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10981180.

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<p> Integrated analysis of well and geophysical data can provide detailed geologic interpretation of the subsurface in Osage County, Oklahoma. Systems tracts and depositional system successions can be interpreted at marginal seismic resolution using well log motif with seismic reflector character within a depositional context. Shelf-prism and subaqueous, delta-scale clinoforms of Missourian age observed in 3D seismic were interpreted with greater sequence stratigraphic detail when coupled with wireline well logs. The Late Pennsylvanian Midcontinent Sea was thought to be approximately 150 feet average depth across the southern Midcontinent during the Missourian Stage, and deepen towards the Arkoma and Anadarko Basins to the south. Here we show that the Late Pennsylvanian Midcontinent Sea floor was in water depths greater than 600 feet and sloped to the southeast, toward major, southern basins, during the Missourian Stage in Osage County. Shelf-prism and delta scale clinoforms up to 600 and 300 feet of relief, respectively, were observed in paired seismic and well log cross sections, thickness maps, and structure maps dipping northwest at 052&deg; strike, upon a basin floor dipping southeast at 253&deg; strike. Lithologic and sequence stratigraphic interpretation revealed a mixed carbonate-siliciclastic system comprising of delta, offshore shelf, and carbonate buildup depositional systems of mesothem, 3rd order sequence magnitude. The observed succession included: 1) falling stage to lowstand, sand-prone, subaqueous delta, 2) transgressive to highstand offshore shelf and carbonate bank, and 3) falling stage delta. The depositional sucession demonstrates how carbonate banks related spatially to terrigenous sediment input in northeastern Oklahoma during the Late Pennsylvanian because of glacio-eustasy and possible tectonism.</p><p>
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Lamb, Rachel. "Quaternary environments of the central North Sea from basin-wide 3D seismic data." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/quaternary-environments-of-the-central-north-sea-from-basinwide-3d-seismic-data(e7b26bab-8e0f-4403-b4c5-aee201ac6843).html.

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Climate change during the last 2.5 million years is characterised by glacial-interglacial cycles of fluctuating sea level and temperature increasing in magnitude and duration towards the present day. The central North Sea preserves these glacial-interglacial cycles in an expanded sedimentary sequence creating a high resolution palaeo-climatic record. Basin-wide, low-resolution 3D seismic data, covering more than 80,000 km2 of the central North Sea, is combined with high-resolution, broadband 3D seismic, regional 2D seismic and local ultra-high resolution seismic from the Dogger Bank windfarm development zone in order to investigate in full the sedimentary sequence. The evolution of the basin is analysed along with the preserved geomorphological landforms in order to build a framework for the development of the North Sea and its changing palaeo-environments from the inception of the Quaternary (2.58 Ma) until the extensive glacial unconformity formed during the Elsterian (0.48 Ma).At the onset of the Quaternary the structure of the North Sea was that of an elongate marine basin, rapidly infilled from the south by continued progradation of the large clinoformal deposits of the southern North Sea deltaic system. The basin rapidly decreased in extent and depth however it was not until around 1.1 Ma that the broad, shallow shelf of the present day was fully established. A revision of the current seismic stratigraphy is proposed, identifying four new Members within the Aberdeen Ground Formation taking into account the development of the basin through time. Powerful downslope gravity currents dominated the basin during much of the early Quaternary, although a well-established, anti-clockwise tidal gyre acted to gently modify the gravity currents. Iceberg scouring was nearly continual from the onset of the Quaternary until grounded ice sheets began to penetrate into the basin from 1.7 Ma, more than half a million years before any previous estimates. Effects of confluence of the British and Fennoscandian ice sheets are observed from 1.3 Ma. The tunnel valleys of the Dogger Bank represent a continuation of the North Sea tunnel valley network, interacting with both older glaciotectonic thrusting and younger glaciotectonic folded deformation.
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Bartolomeu, Ines Gomes. "3D seismic interpretation in a deep-marine depositional environment from Lower Congo Basin offshore Angola." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22743.

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3D seismic data from the offshore Congo Basin, Angola has been performed in order to do geological interpretation of deep-marine deposits and understand the depositional system in the basin. Architectural elements, such as submarine channels, were mapped to see the geomorphologic characteristic. The interpretation was done by dividing the seismic section into three stratigraphic units that are bounded by horizons interpreted. In order to help the interpretation, surface maps, isopach and attribute maps were extracted and the time slices was also displayed to show the channels migration. Analyses of the channelized depositional environments reveal two distinct depositional styles and results morphologies. Channels interpreted within Unit I and II are defined laterally migrating. The channels of Unit III exhibit a pronounced vertical aggradational motif.Keyword: Submarine channel, lateral channel migration, vertical aggradational channel
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Kirkham, Christopher. "A 3D seismic interpretation of mud volcanoes within the western slope of the Nile Cone." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/90449/.

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Mud volcanoes are found within a variety of settings both terrestrial and submarine around the world. The extrusion of mud forms topographic features at the surface that are representative of the focused release of fluids and mud and overpressure. An understanding of mud volcanoes is important for numerous reasons, which include, the insight they provide into overpressure systems and the presence of hydrocarbons, and their potential as a geological hazard. The research that is presented within this thesis focuses on a large number of mud volcanoes within the western slope of the Nile Cone, Eastern Mediterranean. The analysis of these mud volcanoes is based on interpretation using 3D seismic data. The core themes of this research involve analysing these mud volcanoes in order to better understand their geometry and seismic character, timing and distribution, source region and depletion zone, and understand the mechanisms behind the formation of their conduits and ultimately their extruded bodies. This research has led to the discovery of a suite of giant mud volcanoes that are irregular in shape and are among the largest to have been recorded thus far. These mud volcanoes formed directly on top of the Messinian evaporites within the western slope of the Nile Cone at the climax of the Messinian Salinity Crisis. Their interpretation presents significant evidence for a major overpressure release event at the end of the Messinian Salinity Crisis. As many as 386 smaller and conical mud volcanoes have also been interpreted within the western slope of the Nile Cone. Hosting such a large number of mud volcanoes, it could be argued that this region of the Eastern Mediterranean should be considered as amongst the largest mud volcano provinces in the world. Analysis of these mud volcano conduits, depletion zones and volumetric balance calculations, combined with evidence from published literature present a strong case for a pre-salt source for these mud volcanoes. This implies that significant volumes of mud and fluid have bypassed what many previously considered to be a near impermeable barrier.
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Books on the topic "3D seismic interpretation"

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William, Keach R., and Utah Geological Survey, eds. Interpretation of the Jurassic Entrada Sandstone play using 3D seismic attribute analysis, Uinta Basin, Utah. Utah Geological Survey, 2006.

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Interpretation of the Jurassic Entrada sandstone play using 3D seismic attribute analysis, Uinta Basin, Utah. Utah Geological Survey, 2006. http://dx.doi.org/10.34191/ofr-493.

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Book chapters on the topic "3D seismic interpretation"

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A-L Jackson, Christopher, and Karla E. Kane. "3D Seismic Interpretation Techniques: Applications to Basin Analysis." In Tectonics of Sedimentary Basins. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781444347166.ch5.

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Nanda, Niranjan C. "Evaluation of High-Resolution 3D and 4D Seismic Data." In Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26491-2_8.

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Nanda, Niranjan C. "Evaluation of High-Resolution 3D and 4D Seismic Data." In Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75301-6_8.

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Frey-Martínez, J. "3D Seismic Interpretation of Mass Transport Deposits: Implications for Basin Analysis and Geohazard Evaluation." In Submarine Mass Movements and Their Consequences. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3071-9_45.

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Valasek, P., and St Mueller. "A 3D tectonic model of the Central Alps based on an integrated interpretation of seismic refraction and NRP 20 reflection data." In Deep Structure of the Swiss Alps. Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-9098-4_23.

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Bradford, John H. "19. Integrated Hydrostratigraphic Interpretation of 3D Seismic-Reflection and Multifold Pseudo-3D GPR Data." In Advances in Near-surface Seismology and Ground-penetrating Radar. Society of Exploration Geophysicists, American Geophysical Union, Environmental and Engineering Geophysical Society, 2010. http://dx.doi.org/10.1190/1.9781560802259.ch19.

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Bischoff, Alan, Sverre Planke, Simon Holford, and Andrew Nicol. "Seismic Geomorphology, Architecture and Stratigraphy of Volcanoes Buried in Sedimentary Basins." In Updates in Volcanology - Transdisciplinary Nature of Volcano Science. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95282.

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Our ability to investigate both the intrusive and extrusive parts of individual volcanoes has evolved with the increasing quality of seismic reflection datasets. Today, new seismic data and methods of seismic interpretation offer a unique opportunity to observe the entire architecture and stratigraphy of volcanic systems, with resolution down to tens of meters. This chapter summarises the methods used to extract the geomorphic aspects and spatio-temporal organisation of volcanic systems buried in sedimentary basins, with emphasis on the utility of 3D seismic reflection volumes. Based on descriptions and interpretations from key localities worldwide, we propose classification of buried volcanoes into three main geomorphic categories: (1) clusters of small-volume (&lt;1 km3) craters and cones, (2) large (&gt;5 km3) composite, shield and caldera volcanoes, and (3) voluminous lava fields (&gt;10,000 km3). Our classification primarily describes the morphology, size and distribution of eruptive centres of buried volcanoes, and is independent of parameters such as the magma composition, tectonic setting, or eruption environment. The close correlation between the morphology of buried and modern volcanoes provides the basis for constructing realistic models for the facies distribution of igneous systems buried in sedimentary strata, establishing the principles for a new discipline of seismic-reflection volcanology.
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Nivlet, Philippe, Nathalie Lucet, Thierry Tonellot, et al. "Integrated Reservoir Model: Lithoseismic Interpretation and Definition of the 3D Seismic Constraint." In Reservoir Characterization: Integrating Technology and Business Practices: 26th Annual. SOCIETY OF ECONOMIC PALEONTOLOGISTS AND MINERALOGISTS, 2006. http://dx.doi.org/10.5724/gcs.06.26.0373.

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RADOVICH, BARBARA J., BURNET OLIVEROS, Joseph R. Davis, and David A. Scolman. "3D Seismic Interpretation and Nonmarine Depositional Processes at the Gorgon Gas Field, NW Shelf, Australia." In Stratigraphic Analysis Utilizing Advanced Geophysical, Wireline and Borehole Technology for Petroleum Exploration and Productioni: 17th Annual. SOCIETY OF ECONOMIC PALEONTOLOGISTS AND MINERALOGISTS, 1996. http://dx.doi.org/10.5724/gcs.96.17.0229.

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Herron, D. A., W. W. Wilson, and M. T. Currie. "Role of 3D Seismic Interpretation in Reservoir Identification and Characterization, Mississippi Canyon Block 109 Field, Offshore Gulf of Mexico." In The Integration of Geology, Geophysics, Petrophysics and Petroleum Engineering in Reservoir Delineation, Description and Management. American Association of Petroleum Geologists, 1991. http://dx.doi.org/10.1306/sp535c47.

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Conference papers on the topic "3D seismic interpretation"

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M. Dalley, R., A. K. Livesey, R. C. Neelen, and P. F. M. Nacken. "3D Image processing for 3D seismic interpretation." In 58th EAEG Meeting. EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408927.

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Alam, A., and P. Caragounis. "Advances in 3D seismic fault interpretation." In EAEG/EAPG/EAGO Joint Multidisciplinary Workshop - Developing New Reservoirs in Europe. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407004.

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Alam, A., and P. Caragounis. "Advances in 3D seismic fault interpretation." In 56th EAEG Meeting. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201409926.

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Grismore, John, Jacquelyn Singleton, Dennis Neff, Jesse Layton, and Erik Keskula. "True 3D seismic visualization and interpretation." In SEG Technical Program Expanded Abstracts 2000. Society of Exploration Geophysicists, 2000. http://dx.doi.org/10.1190/1.1816127.

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C. Hoogenboom, R., R. M. Dalley, and H. J. Poelen. "Volume interpretation, a new approach to 3D seismic interpretation." In 58th EAEG Meeting. EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408925.

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Dorn, G., H. James, D. Dopkin, and B. Payne. "Automatic Fault Extraction in 3D Seismic Interpretation." In 67th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.1.f035.

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Segonds, D., O. Dubrule, and S. Birrell. "From seismic interpretation to 3D earth model." In 58th EAEG Meeting. EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408748.

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Labrunye, Emmanuel, Christophe Winkler, Cédric Borgese, Jean‐Laurent Mallet, and Stanislas Jayr. "New 3D flattened space for seismic interpretation." In SEG Technical Program Expanded Abstracts 2009. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3255052.

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E. Zharov, A., O. S. Vinnikovskaya, O. A. Krovushkina, et al. "Western Kamchatka offshore Geology: 2D -3D seismic interpretation." In 5th EAGE International Scientific and Practical Conference and Exhibition on Engineering and Mining Geophysics. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.20147364.

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Coleou, T., and J. -J. Debaupuis. "3D Surface modelling during the seismic interpretation process." In EAEG/EAPG/EAGO Joint Multidisciplinary Workshop - Developing New Reservoirs in Europe. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407010.

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Reports on the topic "3D seismic interpretation"

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Bellefleur, G., E. Schetselaar, and D. White. Acquisition, processing and interpretation of the Lalor 3C-3D seismic data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/296308.

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M. Karrenbach. AN INTEGRATED MULTI-COMPONENT PROCESSING AND INTERPRETATION FRAMEWORK FOR 3D BOREHOLE SEISMIC DATA. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/842641.

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M. Karrenbach. An Integrated Multi-component Processing and Interpretation Framework for 3D Borehole Seismic Data. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/862091.

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M. Karrenbach. An Integrated Multi-component Processing and Interpretation Framework for 3D Borehole Seismic Data. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/862092.

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M. Karrenbach. An Integrated Multi-component Processing and Interpretation Framework for 3D Borehole Seismic Data. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/883087.

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James Reeves. Advancing New 3D Seismic Interpretation Methods for Exploration and Development of Fractured Tight Gas Reservoirs. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/958069.

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