... as 'dirty salt,' which presents another challenge for velocity model building (VMB). In order to improve pre-Messinian imaging, a VMB workflow solution, including FWI, has been proposed in this paper to resolve the Messinian salt layers and post-Messinian carbonates. The workflow has been applied to data...

... salt interpretation american association deep learning interpretation exploration geophysicist energy 10 architecture workflow boundary application society Deep Learning in Salt Interpretation from R&D to Deployment: Challenges and Lessons Learned Pandu Devarakota1, Apurva Gala2, Zhenggang...

... Conventional seismic processing and imaging workflows employ a range of techniques such as deghosting, designature, and demultiple to attenuate parts of the wavefield that would otherwise degrade the final image due to the single scattering assumption used in common imaging algorithms...

.... We discuss in detail the challenges, the solutions, and the workflow we have found effective throughout the years of working on such data. reservoir characterization association receiver international upstream oil & gas dataset exploration geophysicist applied geoscience complexity...

... This work focuses on the development and implementation of an integrated 3D seismic and petrophysical workflow from vertical and horizontal wells (from the US Department of Energy-funded Hydraulic Fracture Test Site 1, HFTS-1) in the Midland Basin, United States, to characterize the Wolfcamp...

... association workflow energy 10 ngboost impedance Source rock evaluation from rock to seismic: integrated machine learning based workflow Andrea Carvalho Damasceno André Leonardo Korenchendler¹, Atilas Meneses da Silva¹, Eric da Silva Praxedes¹, Maria Anna Abreu de Almeida dos Reis¹, and Vitor Gorne...

... This work explores computationally efficient evaluations to assimilate seismic data in pore pressure forecast at predrill stages. The pore pressure prediction comes from an interdisciplinary workflow that accounts for available data, geological expertise, and physical processes during the basin...

... to form a geophysical workflow that is completed, and then carry out the work of comprehensive interpretation to understand the main controlling factors. This geophysical workflow is successfully applied to lacustrine shale reservoirs in Sichuan basin of China, and support for high-quality exploration...

... We present a workflow for a joint inversion of gravity and gravity gradients. Our goal is the multi-source modelling in different context with environmental applications such as caviy detection. The workflow is based on sequential joint inversion via cross-gradient constraint. We implemented...

...” first arrivals picking. This paper regards the first arrival as the boundary in a binary image (shot gather) and proposes a workflow to pick the first arrivals of seismic shot gathers by analyzing the results computed using deep learning. Firstly, we compute a probability image by applying a model...

.... Hydrocarbon indicators can be derived through many different workflows, ranging from basic full stack amplitude analysis to the interpretation of amplitude versus offset (AVO) attributes, and to emerging technologies leveraging deep learning algorithms or scanning for dispersion and attenuation anomalies...

... We present an advanced Carbon Capture and Storage (CCS) assessment workflow to consistently predict probabilistic ranges of CO 2 injection mass for an early screening phase. In addition to the standard pore volume assumptions, our workflow uses quantitative notions of Pressure-Volume...

... acquisition geometries and parameters. These challenges have been addressed by successfully implementing a well- defined seismic processing workflow including technologies such as 5D regularization, 3D surface and internal multiples prediction, tilted transverse isotopic (TTI) depth velocity model building...

... developments in FWI technology make it a powerful velocity model building tool, its application to land data, with strong elastic effects and poor data quality particularly at low frequency end, remains challenging. Hence, dedicated data preconditioning and enhancement workflows are required to address the low...

... to that based on rigorous methods. upstream oil & gas well logging surrogate artificial intelligence machine learning neural network kl divergence workflow simulation accuracy exploration geophysicist quantification energy 10 modeling applied geoscience electromagnetic modeling deep...

... starting velocity model. However, low-frequency components of a 3D land dataset used in this study are dominated by noises and a legacy velocity model in the survey area is not existed. To overcome these problems, a two-stage FWI workflow has been implemented to obtain a credible shallow velocity model...

... We present an automatic workflow to estimate anisotropic parameters in vertical transverse isotropic (VTI) media. A cascaded approach is adopted to scan for the stacking velocity and the anisotropic parameters sequentially. The dynamic programming algorithm is applied to automatically pick...

... geometries where data are lacking, are iterative, time intensive and often inaccessible to generalists. Recent software developments have permitted automation of structural modelling techniques using computational visual workflows. The result is a several orders of magnitude increase in modelling efficiency...

... on the quantification of critical uncertainties that impact field development. In the following we discuss workflows to address two of such uncertainties; field-wide ranges of gross rock volume (GRV) and bulk porosity. Fundamental inputs include a comprehensive velocity model, and the structural interpretation...

... velocity and event location inversion approach is a promising candidate to help address this issue, though it is not yet a de facto industry standard due to several practical challenges remaining. We developed a workflow of a joint velocity and event location inversion method in the case of a 1D vertical...