... machine learning geology artificial intelligence upstream oil & gas europe government international exploration geophysicist magnetotelluric inversion energy 10 applied geoscience mapping american association ann deep learning reservoir characterization supervised learning geophysics...

.... This approach analyzes the usability of prestack and poststack amplitude interpretation to drastically improve the spatial estimation of rock properties related to oil bearing reservoir sandstones. Multiple seismic attributes interpretation by Artificial Neural Networks (ANN) is a robust approach to map thin...

... This study describes a data conditioning workflow based on machine learning, using two 3D input datasets of different characteristics and spatial extent. We would like to share our experience of training a 3D Conditional Generative Adversarial Network (CGAN) to learn a mapping between...

... Emphasizing geological features outlines is one of the seismic interpretation objectives. The spectral decomposition process allows extracting the distinctive frequencies encompassing an energetic maximum relative to a geological target and mapping it through a Red-Green-Blue viewer...

... these effects, we train a deep convolutional network to learn a mapping from elastic to acoustic seismic shot gathers. We also train a separate network to learn the opposite mapping from acoustic to elastic data. On realistic 3D synthetic and 3D marine field data, we show that both approaches mitigate elastic...

... society international communication aminzadeh applied geoscience energy 10 contribution mapping Optimizing decision-making processes in Sustainability and ESG: How a digital approach transforms strategic areas of oil and gas Maria Angela Capello*, Red Tree Consulting LLC and Fred Aminzadeh, FACT...

... GPR mapping was carried out on MTU Lake to understand the depth of the water body and also map possible wreckage or abandoned materials during the construction of a concretized bridge. 80 and 160 MHz antennae were deployed and the mapped time ranges from 30 to 160ns with a corresponding depth...

... Standardized geological mapping is paramount for understanding available resources, developing a long-term plan of land use and management, and can lead to new ore discoveries. These are some of the reasons that explain why geological mapping is important for multiple stakeholders, including...

... propose picking t * from premigration data, computing a data-domain 1/ Q ≈∂ t */∂ t , and mapping t * and 1/ Q to image domain by depth migrations. For low-dip and gently varying earth models, test results show that common-image-point (CIP) gathers of 1/ Q so obtained yield reasonable 1/ Q models...

.... In this abstract, we present a few applications of our ambient noise surface wave tomography (ANSWT) for cover mapping at different scales. Two examples of mineral exploration are presented as well as an application used for seismic hazard characterization. All three results are ground-truthed using borehole...

... in mapping the subsurface to find and evaluate resources, or to monitor the utilization of groundwater, can be applied for a variety of objectives that include not only the understanding of hydrocarbon reservoirs but also for the understanding of potential carbon storage and sequestration sites...

... a mapping between these two and show how high quality seismic can be modeled from the uniform blocks of a reservoir model. The key steps are geometrically handling the different models and Fourier surface modeling of the resulting multi-scale grid. We demonstrate this approach on a complex reservoir/ geo...

... Accurate interpretation of salt structures plays an important role in hydrocarbon exploration. Over the years, several methods have been applied to mapping salt structures, including seismic, gravity and magnetic. The gravity and magnetic methods in particular have the advantages of low cost...

... Airborne electromagnetic surveys provide spatially extensive resistivity information that can be useful for groundwater salinity mapping; however, the transformation from geophysical data to salinity interpretations carries uncertainty. We compare two quantitative approaches to salinity mapping...

..., ground-truth, or reliable interpretation. We discuss the pros and cons of deeplearning approaches versus solving inverse problems, guides by an aquifer mapping example from Arizona, based on airborne geophysical data and geological maps. Presentation Date: Tuesday, October 13, 2020 Session Start Time...

... total magnetization direction was obtained by a equivalent layer of dipoles with the positivity constraint on the magnetic-moment distribution. Our method determines the remanent magnetization direction as the minimum of the discrete mapping of a function defined as the L2 norm of the difference between...

... reservoir model, in which crosswell seismic and electromagnetic (EM) data are jointly inverted. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 1:50 PM Presentation Time: 4:45 PM Location: 360D Presentation Type: Oral Joint seismic and electromagnetic inversion for reservoir mapping...

... called Common Risk Segment (CRS) mapping. CRS allows for the rapid communication of combined quantitative risk/uncertainty, even in cases where large numbers of input features impact the process. Examples, based on drilling decisions, in two, three and four (spatial and temporal) dimensions are discussed...

... ABSTRACT Electromagnetic methods are established tools alongside gravity and magnetics for non-seismic mapping of crystalline basement. Accurately mapping the boundary between sedimentary cover rocks and the crystalline basement has implications for hydrocarbon prospectivity of a basin. We...

... in an efficient way using a mapping approach between migrated shot gathers and subsurface reflection angle/azimuth gathers. To accelerate convergence of the iterative inversion, we apply image-domain preconditioning operators computed from a single de-remigration step, such that the first iteration already gives...