... sonic logs and static geomechanical measurements in the lab, a machine learning tool is provided to predict the dipole sonic logs and build a geomechanical model using routinely recorded well logs like gamma-ray, resistivity, neutron porosity, and density. The calculated minimum horizontal stress...

... and well log interpretation to understand the structural and sedimentation history of the ECB, and thus the main factors that were likely to contribute to overpressure generation/dissipation and porosity loss. 1D hydro-geomechanical models were then built to undertake a parametric study to investigate...

... analysis are as follows: Improvement in Fluid Saturations and Analysis: The DT2 and T1T2 maps proved to resolve the fluid components in the organic matter rich section of the reservoir. Kerogen indicators identified with the Spectral Gamma Ray analysis and the NMR undercall porosity are in good agreement...

... generate predictions with uncertainty estimates with the goal of providing ageohazard assessment before any shallow hazard surveys are performed.We used a geospatial machine learning model to predict total organic carbon (TOC) and porosity at the seafloor in the northern Gulf of Mexico, and model...

... (LPI) and a 300kV computed tomography (CT) scanner. The LPI images were used to quantify the density of surface cracking using image analysis. CT results were post-processed to provide a percentage of internal porosities in the deposit. Normalized crack density and percent porosity (averages...

... pressing (HIP) has been used to remove shrinkage porosity and internal defects in cast products for many years, predominantly to improve mechanical properties and fatigue resistance. Recently, there has been an increasing focus on AM processes for demanding applications where localized corrosion...

... cell production performance constraint porosity evaluation risk score problem score offshore abu dhabi perforation permeability Automated Data Integration An example of a Voronoi cell is shown in Figure 2 and Figure 3 : Voronoi grids should be recomputed over time due...

..., in HP/HT settings and operational risk mitigation. It provides additive data for other petrophysical/QI/rock property analyses including seismic inversion, shale content, porosity, log QC/editing, real-time LWD, drilling optimization, etc. machine learning neural network artificial intelligence...

... Abstract In the oil and gas exploration process, understanding the hydrocarbon distribution of a reservoir is important. Well-log and core sample data such as porosity and water saturation are widely used for this purpose. With porosity and water saturation, we can calculate hydrocarbon volume...

...: An Alternate Approach . Society of Petroleum Engineers . doi: 10.2118/194639-MS real time system radial profile breakout drilling log analysis regime hole condition fracture offshore technology conference bhuj formation shear moduli rock mechanical property porosity ppg deep tight gas...

... technology conference porosity deepwater field south china sea wang nigeria china basin gas field exploration oil field upstream oil & gas reservoir characterization structural geology ANP Database . 2018 . http://www.anp.gov.br/publicacoes/anuario-estatistico/oil-natural-gas...

... well logging borehole gravity saturation feasibility study artificial intelligence density change log analysis santos basin reservoir model borehole gravity survey application upstream oil & gas information reservoir anomaly gravity survey porosity libra field Abelha , M...

... from a heterogeneous carbonate reservoir were used. The data included well log records such; GR, SP, Density, Neutron Porosity, Total Porosity, Resistivity, Induction, Shale Volume, Water Saturation, along with porosity and permeability values from core analysis. These data were integrated and analyzed...

... distribution including porosity of fracture. This paper studied the development mechanism of buried hills reservoir with double system-fracture and matrix by comprehensive physical simulation, numerical simulation and other data. A new injection-production pattern named PT-IB (produced wells on the top...

... in each zone based on the predominant formation-water dynamic. Normal hydrostatic pressure is only assigned to the loosely compacted very shallow section (A). Hydrodynamic zone B with upward formation water flow is associated with compaction and reduction of porosity due to sediments load. Petrophysical...

... hydrate formation and estimation of hydrate saturation. The Work flow to estimate Petrophysical properties is guided by the high resistivity, low transit time and low density. It includes evaluation of different overlays and cross plots of wells like picket plot to firm up different parameters. Porosity...

... simulation by preserving the fluvial features of the geosystem. Many realizations were generated and cross-validated to determine the most appropriate lithofacies model, which was considered later for the permeability and porosity modeling by the sequential gaussian simulation. To attain history matching...

... in petrophysical properties. In the industry, it is a common practice to estimate permeability with porosity vs. permeability (poroperm) relationships derived from core data. However, in our study field, the semi-log crossplots of core porosity and permeability generally exhibit a wide spread. As a result...

... parameters are analyzed through Optimization Algorithms, to quantify the uncertainties and its impact on reservoir characterization. Sensitivity analysis indicated that Oil Initially In Place (OIIP) exhibits significant sensitivity to effective porosity and water saturation. Therefore, distribution pattern...

... amplitude anomalies were investigated by integrating with well-cross-sections along the neighboring wells. Geological and petrophysical information, such as, structure maps, log character, reservoir thickness, sand distribution, NTG, porosity, hydrocarbon pore volume, proximity to gas cap or water zone...