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Добірка наукової літератури з теми "3D Gravity inversion with seismic constraint"

Автор: Grafiati
Опубліковано: 22 червня 2024

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Статті в журналах з теми "3D Gravity inversion with seismic constraint":

1

Rashidifard, Mahtab, Jérémie Giraud, Mark Lindsay, Mark Jessell, and Vitaliy Ogarko. "Constraining 3D geometric gravity inversion with a 2D reflection seismic profile using a generalized level set approach: application to the eastern Yilgarn Craton." Solid Earth 12, no. 10 (October 22, 2021): 2387–406. http://dx.doi.org/10.5194/se-12-2387-2021.

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Abstract. One of the main tasks in 3D geological modeling is the boundary parametrization of the subsurface from geological observations and geophysical inversions. Several approaches have been developed for geometric inversion and joint inversion of geophysical datasets. However, the robust, quantitative integration of models and datasets with different spatial coverage, resolution, and levels of sparsity remains challenging. One promising approach for recovering the boundary of the geological units is the utilization of a level set inversion method with potential field data. We focus on constraining 3D geometric gravity inversion with sparse lower-uncertainty information from a 2D seismic section. We use a level set approach to recover the geometry of geological bodies using two synthetic examples and data from the geologically complex Yamarna Terrane (Yilgarn Craton, Western Australia). In this study, a 2D seismic section has been used for constraining the location of rock unit boundaries being solved during the 3D gravity geometric inversion. The proposed work is the first we know of that automates the process of adding spatially distributed constraints to the 3D level set inversion. In many hard-rock geoscientific investigations, seismic data are sparse, and our results indicate that unit boundaries from gravity inversion can be much better constrained with seismic information even though they are sparsely distributed within the model. Thus, we conclude that it has the potential to bring the state of the art a step further towards building a 3D geological model incorporating several sources of information in similar regions of investigation.
2

Geng, Meixia, J. Kim Welford, Colin G. Farquharson, and Xiangyun Hu. "Gravity modeling for crustal-scale models of rifted continental margins using a constrained 3D inversion method." GEOPHYSICS 84, no. 4 (July 1, 2019): G25—G39. http://dx.doi.org/10.1190/geo2018-0134.1.

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We have developed a new constrained inversion method that is based on a probabilistic approach for resolving crustal structure from regional gravity data. The smoothness of estimated structures is included in the inversion by using a model covariance matrix, and the sparse boundary information obtained from seismic data is incorporated in the inversion by using linear equality constraints. Moreover, constraints on the average anomalous densities expected for different crustal layers are applied instead of using a depth-weighting function. Bathymetric data and sediment thicknesses are included in the inversion by using an a priori model. Using the proposed method, model structures with sharp boundaries can be obtained while the existing boundary information and sparse seismic constraints are honored. We determine through a synthetic example and a real-world example that the proposed constrained inversion method is a valid tool for studying crustal-scale structures.
3

Yang, Bo, Zhan Liu, and Kaijun Xu. "Integrating multigeophysical data to improve structural imaging in the Dayangshu Basin." Interpretation 8, no. 4 (October 26, 2020): SS87—SS96. http://dx.doi.org/10.1190/int-2019-0263.1.

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We have used the integrated interpretation of gravity, magnetotelluric (MT) data, and seismic data to improve the structural imaging of the Dayangshu Basin. The Dayangshu Basin is mainly composed of clastic and volcanic rocks. The logging data in the basin show different degrees of direct hydrocarbon indication, suggesting that the Dayangshu Basin has good potential for exploration. However, the widely distributed volcanic rocks attenuate seismic waves and lead to poor seismic imaging. Thus, the seismic signal is weak in the Ganhe Formation (K1g) and reliable seismic images cannot be obtained below that formation. MT data can accurately obtain images of deep structures because the resistivity of volcanic rocks is significantly higher than that of sedimentary rocks. Therefore, to obtain a more reliable geologic model, we combine the traditional 3D MT inversion result with logging and seismic data to establish an initial model. The 3D MT fuzzy constrained inversion (FCI) produces a more reliable geophysical model and geologically meaningful results. The resistivity model inverted from FCI shows that volcanic rocks are widely distributed in the Ganhe Formation, and the resistivity value of the lower section of the Longjiang Formation is greater than that of the upper section of the Longjiang Formation. Finally, the 3D gravity inversion with structural constraints from 3D MT FCI method was performed to improve the model resolution in depth and to highlight the density variations within the Jiufengshan Formation, which can further optimize the geologic model. We have determined how the effective integration of gravity, MT, and seismic data can improve the structural imaging of the Dayangshu Basin.
4

Ognev, Igor, Jörg Ebbing, and Peter Haas. "Crustal structure of the Volgo–Uralian subcraton revealed by inverse and forward gravity modelling." Solid Earth 13, no. 2 (March 2, 2022): 431–48. http://dx.doi.org/10.5194/se-13-431-2022.

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Abstract. Volgo–Uralia is a Neoarchaean easternmost part of the East European craton. Recent seismic studies of the Volgo–Uralian region provided new insights into the crustal structure of this area. In this study, we combine satellite gravity and seismic data in a common workflow to perform a complex study of Volgo–Uralian crustal structure, which is useful for further basin analysis of the area. In this light, a new crustal model of the Volgo–Uralian subcraton is presented from a step-wise approach: (1) inverse gravity modelling followed by (2) 3D forward gravity modelling. First, inversion of the satellite gravity gradient data was applied to determine the Moho depth for the area. Density contrasts between crust and mantle were varied laterally according to the tectonic units present in the region, and the model is constrained by the available active seismic data. The Moho discontinuity obtained from the gravity inversion was consequently modified and complemented in order to define a complete 3D crustal model by adding information on the sedimentary cover, upper crust, lower crust, and lithospheric mantle layers in the process of forward gravity modelling, where both seismic and gravity constraints were respected. The obtained model shows crustal thickness variations from 32 to more than 55 km in certain areas. The thinnest crust with a thickness below 40 km is found beneath the Precaspian basin, which is covered by a thick sedimentary layer. The thickest crust is located underneath the Ural Mountains as well as in the centre of the Volgo–Uralian subcraton. In both areas the crustal thickness exceeds 50 km. At the same time, initial forward gravity modelling has shown a gravity misfit of ca. 95 mGal between the measured Bouguer gravity anomaly and the forward calculated gravity field in the central area of the Volgo–Uralian subcraton. This misfit was interpreted and modelled as a high-density lower crust, which possibly represents underplated material. Our preferred crustal model of the Volgo–Uralian subcraton respects the gravity and seismic constraints and reflects the main geological features of the region with Moho thickening in the cratons and under the Ural Mountains and thinning along the Palaeoproterozoic rifts, Precaspian sedimentary basin, and Pre-Urals foredeep.
5

HASSAN, Ahmed Gamal Mohamed, and Karam Samir Ibrahim FARAG. "Multi-stage 3D Gravity Inversion Scheme for Maximum Optimization of the Subsurface Basement Model at Gebel El-Zeit Basin, Southwestern Gulf-of-Suez, Egypt." NEWS of the Ural State Mining University, no. 4 (December 15, 2023): 19–39. http://dx.doi.org/10.21440/2307-2091-2023-4-19-39.

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Relevance and purpose of the work. Due to its basement fault block pattern in the sedimentary basin, the Southwestern Gulf of Suez’s Gebel El-Zeit basin is one of Egypt’s most desirable hydrocarbon concessions. However, salt diapers in sedimentary layers have hindered seismic interpretations in this area, making it challenging to build a 3D central primary basinal structure. This study uses Bouguer gravity anomalies to input basement complex lateral density model assumptions to determine the optimal three-dimensional basement depth for the study area. Research methodology. Based on the concept of sequential 3D spectral layered-earth inversion approaches, through trials with the Oldenburg and other forward models, many forward optimization strategies and parameterization sequences with variable constraint parameter assumptions were used to regulate the inversion operations within a proposed three-stage gravity inversion scheme to identify the optimal depth-density solution with a minimal computational data misfit. This study statistically analyzes the basement’s relief and complicated lateral density distribution to determine the best parameters for a 3D depth-density model solution. Zero regional gravity offset and DC-shift, which forced the mean error to be zero, helped simulate the lateral density model’s best-possible constraining assumptions. Results and conclusions. Correlating depth data from many stratigraphical-control wells drilled in the inverted 3D basement model confirmed the basement relief optimality of the study area. Correlation analysis showed a good match between the predicted and measured depths, proving the resulting optimality of the basement complex’s lateral density distribution, minimizing the computational depth error to a minimal percentage.
6

Sampietro, Daniele, and Martina Capponi. "Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information." Geosciences 11, no. 11 (November 12, 2021): 467. http://dx.doi.org/10.3390/geosciences11110467.

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The exploitation of gravity fields in order to retrieve information about subsurface geological structures is sometimes considered a second rank method, in favour of other geophysical methods, such as seismic, able to provide a high resolution detailed picture of the main geological horizons. Within the current work we prove, through a realistic synthetic case study, that the gravity field, thanks to the availability of freely of charge high resolution global models and to the improvements in the gravity inversion methods, can represent a valid and cheap tool to complete and enhance geophysical modelling of the Earth’s crust. Three tests were carried out: In the first one a simple two-layer problem was considered, while in tests two and three we considered two more realistic scenarios in which the availability on the study area of constraints derived from 3D or 2D seismic surveys were simulated. In all the considered test cases, in which we try to simulate real-life scenarios, the gravity field, inverted by means of an advanced Bayesian technique, was able to obtain a final solution closer to the (simulated) real model than the assumed a priori information, typically halving the uncertainties in the geometries of the main geological horizons with respect to the initial model.
7

Preston, Leiph, Christian Poppeliers, and David J. Schodt. "Seismic Characterization of the Nevada National Security Site Using Joint Body Wave, Surface Wave, and Gravity Inversion." Bulletin of the Seismological Society of America 110, no. 1 (November 19, 2019): 110–26. http://dx.doi.org/10.1785/0120190151.

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ABSTRACT As a part of the series of Source Physics Experiments (SPE) conducted on the Nevada National Security Site in southern Nevada, we have developed a local-to-regional scale seismic velocity model of the site and surrounding area. Accurate earth models are critical for modeling sources like the SPE to investigate the role of earth structure on the propagation and scattering of seismic waves. We combine seismic body waves, surface waves, and gravity data in a joint inversion procedure to solve for the optimal 3D seismic compressional and shear-wave velocity structures and earthquake locations subject to model smoothness constraints. Earthquakes, which are relocated as part of the inversion, provide P- and S-body-wave absolute and differential travel times. Active source experiments in the region augment this dataset with P-body-wave absolute times and surface-wave dispersion data. Dense ground-based gravity observations and surface-wave dispersion derived from ambient noise in the region fill in many areas where body-wave data are sparse. In general, the top 1–2 km of the surface is relatively poorly sampled by the body waves alone. However, the addition of gravity and surface waves to the body-wave dataset greatly enhances structural resolvability in the near surface. We discuss the methodology we developed for simultaneous inversion of these disparate data types and briefly describe results of the inversion in the context of previous work in the region.
8

Colombo, Daniele, Gary McNeice, Nickolas Raterman, Mike Zinger, Diego Rovetta, and Ernesto Sandoval Curiel. "Exploration beyond seismic: The role of electromagnetics and gravity gradiometry in deep water subsalt plays of the Red Sea." Interpretation 2, no. 3 (August 1, 2014): SH33—SH53. http://dx.doi.org/10.1190/int-2013-0149.1.

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The Red Sea is characterized by thick salt sequences representing a seal for potential hydrocarbon accumulations within Tertiary formations deposited over deep basement structures. The Red Sea “salt” is characterized by halite concentrations embedded in layered evaporite sequences composed of evaporite and clastic lithologies. Salt complicates seismic exploration efforts in the Red Sea by generating vertical and lateral velocity variations that are difficult to estimate by seismic methods alone. In these conditions, the exploration challenges of independently imaging the subsalt section and provide enhanced velocity model building capabilities were addressed by a multigeophysics strategy involving marine electromagnetics (magnetotellurics and controlled source electromagnetics [CSEM]) and gravity gradiometry surveys colocated with wide azimuth seismic. Three-dimensional inversion of MT and CSEM is performed first with minimal a priori constraints and then by including variable amounts of interpretation in the starting models. The internal variations in the evaporitic overburden, the subsalt, and the basement structures are independently imaged by combined electromagnetic methods and confirmed by new drilling results. CSEM, in particular, provides unprecedented detail of the internal structures within the salt overburden while magnetotellurics provides excellent reconstruction of the base of salt and basement. Gravity gradiometry shows primary sensitivity to the basement and the corresponding 3D inversion provides density distributions structurally consistent with the resistivity volumes. The common-structure, multiparameter models obtained from 3D inversion deliver additional aid to seismic interpreters to further derisk exploration in the Red Sea and provide additional detail to depth imaging velocity models. The reciprocal consistency of the obtained results show promises for extending the work to more analytical integration with seismic such as provided by joint geophysical inversion.
9

Xu, Zhengwei, Rui Wang, Wei Xiong, Jian Wang, and Dian Wang. "3D hybrid imaging based on gravity migration and regularized focusing inversion to predict the Poyang Basin interface." GEOPHYSICS 86, no. 4 (July 1, 2021): G55—G67. http://dx.doi.org/10.1190/geo2020-0396.1.

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Describing and understanding the basement relief of sedimentary basins is vital for oil and gas exploration. The traditional method to map an interface in each spatial direction is based on 3D modeling of gravity Bouguer anomalies with variable lateral and vertical density contrasts using a priori information derived from other types of geoscience data sets as constraints (e.g., well and/or seismic data). However, in the preexploration stage, vertical gravity [Formula: see text], which is sometimes the only available geophysical data, is typically used to recover smooth density contrast distributions under a generic set of constraints. Apparently, the use of the [Formula: see text] component is not sufficient to produce geologically reasonable interpretations with high resolution. To address this, we have developed a novel process of hybrid inversion, combining gravity migration and inversion using the same [Formula: see text] data set, to distinguish the complicated interface between basement and sedimentary basin rocks from a full-space inverted density distribution volume. First, a 3D-migrated model delineating the basic sedimentary basin structure is derived using a focusing gravity iterative migration method, where a priori information is not necessary. Subsequently, under the framework of the regularized focusing conjugate inversion algorithm, a high-resolution density contrast model is inverted for delineation of the basement boundary by integrating the 3D-migrated density model as a priori information. We examine the method using one synthetic example and a field data case, of which a transformed resolution density matrix is developed from logarithmic space to qualitatively evaluate the practical resolutions. The high resolution of the density distribution of the Cretaceous basement with a clear interface is achieved and verified by limited seismic data and strata markers in limited wells.
10

Carpenter, Chris. "Machine-Learning Method Determines Salt Structures From Gravity Data." Journal of Petroleum Technology 73, no. 02 (February 1, 2021): 70–71. http://dx.doi.org/10.2118/0221-0070-jpt.

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201424, “Machine-Learning Method To Determine Salt Structures From Gravity Data,” by Jie Chen, Cara Schiek-Stewart, and Ligang Lu, Shell, et al., prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, 5-7 October. The paper has not been peer reviewed. In the complete paper, the authors develop a machine-learning (ML) method to determine salt structures directly from gravity data. Based on a U-net deep neural network, the method maps the gravity downward continuation volume directly to a salt body mask volume, which is easily interpretable for an exploration geophysicist. The authors conclude that the ML-based method from gravity data complements seismic data processing and interpretation for subsurface exploration. Introduction In subsurface exploration, seismic is the dominant method used to reconstruct the underground image for geophysicists and geologists to locate possible hydrocarbon reservoirs. Seismic acquisition is carried out by human-induced sound waves (by airgun or vibrators) that are recorded, once reflected, on the surface. Through the iterative waveform inversion process, a subsurface image can be reconstructed for reservoir location and property determination. Nonseismic (gravity and magnetic-measurement) methods, on the other hand, are passive measurements and not intrusive to the environment. In gravity data acquisition, gravimeters measure the change in the gravitation-al field, which can be used to determine the density variation on the subsurface. Compared with seismic acquisition, gravity acquisition is cheaper and introduces a much smaller carbon footprint. Gravity data resolution is, in principle, worse than that of seismic. However, especially in areas of salt structures, gravity data provide a unique addition because the density contrast between salt and the surrounding sediments in-creases with depth, while the velocity contrast decreases with depth. Therefore, gravity data provide valuable additional constraints in salt delineation for interpretation and seismic processing. Recently, ML and deep-learning (DL) applications in hydrocarbon exploration have been studied extensively. The authors note developments such as use of ML/DL on seismic data noise attenuation, salt interpretation from seismic stack, least-square inversion, rock-facies classification, and 4D seismic in reservoir management. To the authors’ knowledge, no literature exists that explores use of ML on nonseismic data. The authors’ method can map the gravity downward continuation volume directly to a salt body mask (0/1 for nonsalt/salt) volume, which saves iterative effort of the conventional gravity inversion process and is easily interpretable for explorational geophysicists and geologists. Gravity Data Processing Raw gravity data are measured as a 2D Bouguer anomaly (the difference between measured gravity and theoretical gravity value) grid. The first step of gravity inversion is to perform a downward continuation calculation to generate a 3D volume so that the depth of the density anomaly can be estimated. The equivalent source technique is one of the more-stable downward continuation calculations and is a preferred method for making downward continued volumes used in in-field reference drilling.
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Дисертації з теми "3D Gravity inversion with seismic constraint":

1

Gonçalves, Susana Ferreira D. S. "Geophysical characterization of the Crustal structures from Equatorial to North-East Brazilian margins." Electronic Thesis or Diss., Brest, 2023. https://theses.hal.science/tel-04619710.

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Adaptation et application de la méthode d'inversion gravimétrique 3D avec contraintes sismiques à l'étude des structures crustales profondes des marges passives du nord-ouest du Brésil. Avec une approche de décapage des couches, la méthode a la capacité, la robustesse et la cohérence d'étudier la géométrie de la discontinuité du Moho dans le contexte de l'environnement des marges passives. Les résultats obtenus sont suffisamment précis pour distinguer les transitions entre les différents domaines. Ils permettent également d'identifier les différences au sein d'un même domaine lors de l'analyse de deux profils parallèles, par exemple: imagerie des structures de la croûte terrestre profonde avec la méthode de migration temporelle inverse appliquée à deux profils de données sismiques à grand angle. La méthode permet d'obtenir des images de ce type de structures. L'analyse des deux résultats est un outil important pour étudier la forme et la géométrie de la zone de rétrécissement, même dans les profils avec des tirs asymétriques. Elle montre également la contribution essentielle du champ d'ondes réfracté à son succès. Fusion de trois profils sismiques grand angle subparallèles dans la région nord-ouest du Brésil en un profil unique d'une longueur d'environ 1800 km, offrant une perspective unique sur le processus d'évolution de l'ouverture de l'océan Atlantique sud. Le profil fusionné met en évidence les similitudes entre les marges équatoriale et centrale de l'océan Atlantique Sud, malgré des processus géodynamiques et des périodes d'ouverture différents
Adaptation and application of 3D gravity inversion with seismic constraint method to the study of the deep crustal structures of the Northwest Brazil passive margins. With a layer-stripping approach, the method has the capacity, robustness and coherency to study the geometry of the Moho discontinuity, or any other crustal layer, within the context of the passive margins environment. The obtained results have sufficient accuracy to distinguish transitions between different domains – continental domain, necking zones and oceanic domain. It is also capable to identify differences within the same domain when analyzing two parallel profiles, for example.Imaging of deep crustal structures with Reverse Time Migration method applied to two Wide-Angle Seismic data profiles, acquired by Ocean Bottom Seismometers and Land Seismic Stations. The method has capacity to image these type of structures in the two domains. The analysis of the two results is an important tool to investigate the shape and geometry of the necking zone even in profiles with asymmetric shooting. It is also shown the essential contribution of the refracted wavefield for its success.Merge of three sub-parallel Wide-Angle Seismic profiles in the Northwest area of Brazil into a unique profile of approximately 1800 km in length, providing an unique perspective on the evolution process of the opening of the South Atlantic Ocean. The merged profile showcases the similarities between the Equatorial and Central margins of the South Atlantic Ocean in spite of the different geodynamic processes and time of opening
2

Kardell, Dominik Alexander, and Dominik Alexander Kardell. "Volume Estimation of Rift-Related Magmatic Features using Seismic Interpretation and 3D Inversion of Gravity Data on the Guinea Plateau, West Africa." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/621182.

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The two end-member concept of mantle plume-driven versus far field stress-driven continental rifting anticipates high volumes of magma emplaced close to the rift-initiating plume, whereas relatively low magmatic volumes are predicted at large distances from the plume where the rifting is thought to be driven by far field stresses. We test this concept at the Guinea Plateau, which represents the last area of separation between Africa and South America, by investigating for rift-related volumes of magmatism using borehole, 3D seismic, and gravity data to run structural 3D inversions in two different data areas. Despite our interpretation of igneous rocks spanning large areas of continental shelf covered by the available seismic surveys, the calculated volumes in the Guinea Plateau barely match the magmatic volumes of other magma-poor margins and thus endorse the aforementioned concept. While the volcanic units on the shelf seem to be characterized more dominantly by horizontally deposited extrusive volcanic flows distributed over larger areas, numerous paleo-seamounts pierce complexly deformed pre and syn-rift sedimentary units on the slope. As non-uniqueness is an omnipresent issue when using potential field data to model geologic features, our method faced some challenges in the areas exhibiting complicated geology. In this situation less rigid constraints were applied in the modeling process. The misfit issues were successfully addressed by filtering the frequency content of the gravity data according to the depth of the investigated geology. In this work, we classify and compare our volume estimates for rift-related magmatism between the Guinea Fracture Zone (FZ) and the Saint Paul's FZ while presenting the refinements applied to our modeling technique.

Частини книг з теми "3D Gravity inversion with seismic constraint":

1

Strykowski, G. "Empirical Covariance Functions between Seismic, Density and Gravity Data — an Important Constraint in 3D Gravimetric-Seismic Stochastic Inversion." In Theory and Practice of Geophysical Data Inversion, 335–60. Wiesbaden: Vieweg+Teubner Verlag, 1992. http://dx.doi.org/10.1007/978-3-322-89417-5_21.

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Тези доповідей конференцій з теми "3D Gravity inversion with seismic constraint":

1

Mirzaei, M., J. W. Bredewout, and R. K. Snieder. "3D Gravity inversion with seismic constraints using the subspace method." In 58th EAEG Meeting. Netherlands: EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408757.

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2

Jiang, Wenbin, Jie Zhang, Weizhong Wang, Dengguo Zhou, and Ahmad Riza Ghazali. "3D joint seismic waveform and airborne gravity gradiometry inversion with cross-gradients constraints." In SEG 2017 Workshop: Full-waveform Inversion and Beyond, Beijing, China, 20-22 November 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/fwi2017-035.

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3

Sampietro, D., M. Capponi, K. Oikonomopoulos, D. Ktenas, E. Tartaras, and A. Stefatos. "3D model of South Crete offshore area by seismic constrained gravity inversion." In Third EAGE Eastern Mediterranean Workshop. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202137022.

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4

Carvalho, J., A. Malehmir, N. Pacheco, F. Marques, P. Dias, G. Donoso, B. Brodic, et al. "Target generations using constrained 3D gravity inversion and innovative in-mine-surface seismic surveys, Neves-Corvo, Portugal." In Mineral Exploration Symposium. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202089016.

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5

Waqas, Muhammad, Lian Hou, Vincent Prieux, Adrien Meffre, Raffaela Sabetian, Hervé Prigent, Ahmed Saeed Alkaabi, et al. "Velocity Model Building for Depth Imaging of Carbonate Reservoirs to the Deep Salt Incorporating Walkaway VSP and Gravity-Magnetic Data From OBC Survey Offshore Abu Dhabi." In SPE Reservoir Characterisation and Simulation Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212667-ms.

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Abstract Use of depth imaging is increasing day by day in green as well as in brown fields. Velocity model is constructed by integration of multiple available datasets and techniques. Depth imaging based on a high-resolution velocity model constrained by wells resulted in improved image of the overburden as well as carbonate reservoirs to the deep salt using 3D OBC seismic, borehole seismic and Gravity-Magnetic data from two adjacent offshore fields in Abu Dhabi. Multi-Wave Inversion (MWI) utilizing direct arrivals, surface waves and two-way time surfaces was applied to obtain high-resolution velocity model in the near surface validated by checkshots and sonic logs. Near surface velocity inversions were detected by MWI which improved overall gather flatness in the near surface. The current stress regime as well as the network of faults resulted in HTI anisotropy in the dome area, which is visible on the multi-azimuthal Walkaway VSP travel-time residuals from the observed and modelled data. HTI is also visible on azimuthal move-out in Common Offset Common Azimuth (COCA) gathers. HTI tomography was tested, giving equally flat gathers achieved by azimuthal move-out correction. A Gravity-Magnetic survey covering the area was inverted and integrated for the deep salt and basement model. The basement was constrained by the results from magnetic depth estimation. Density model of deep salt sediments and basement was enhanced by Gravity-Magnetic inversion. The resulting density model was converted to velocity which was then incorporated in the final velocity model followed by tomographic update. Final imaging provided a better stacking response and improved gather flatness on the salt dome. High-resolution velocity model provided improved imaging, well ties and depth conversion. Improved AVO/AVA response helped patrial angles stacks for improved reservoir characterization. Improved imaging in the deep section was also achieved.
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Liu, H., G. Wu, J. Shan, and S. Yang. "Density Inversion Using Seismic Envelope Objective Function with Gravity Constraint." In 85th EAGE Annual Conference & Exhibition - Workshop Programme. European Association of Geoscientists & Engineers, 2024. http://dx.doi.org/10.3997/2214-4609.202410365.

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Meng, Xiaohong, Zhaoxi Chen, and Zhaohang Yang. "Joint inversion for gravity and seismic data based on the matching constraint." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2998283.1.

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Sayyadi, S. "3D Constraint Gravity Inversion Modeling on Mining Deposit Based On Circular Cylinder." In 80th EAGE Conference and Exhibition 2018. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201801695.

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Rovetta, D., D. Colombo, E. Sandoval Curiel, R. E. Ley, W. Wang, and C. Liang. "3D Seismic-gravity Simultaneous Joint Inversion for Near Surface Velocity Estimation." In 75th EAGE Conference and Exhibition incorporating SPE EUROPEC 2013. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20130006.

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Santos*, H. B., D. L. Macedo, E. B. Santos, J. Schleicher, and A. Novais. "Use of 3D gravity inversion to aid seismic migration-velocity building." In 14th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 3-6 August 2015. Brazilian Geophysical Society, 2015. http://dx.doi.org/10.1190/sbgf2015-274.

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Звіти організацій з теми "3D Gravity inversion with seismic constraint":

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Maceira, Monica, Robert D. van der Hilst, and Haijiang Zhang. 3D Variations in Seismic Wavespeed and Mass Density in the Crust and Upper Mantle of SE Asia from Joint Inversion of Seismic and Gravity Data. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1134770.

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