.... The methods used in this investigation included the review and evaluation of geological aspects of known reservoirs that have data consisting of well logs, cores, microseismic, and geochemical analysis of fluids. Specifically, faults and fracture networks, primary and secondary porosity, and diagenetic...

... 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...

... well logging pore pressure sedimentation rate log analysis new zealand government porosity upstream oil & gas reservoir characterization overpressure reservoir geomechanics tectonic compression thickness erosion east coast basin evolution erosion rate disequilibrium...

... 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...

... with the Spectral Gamma Ray analysis and the NMR undercall porosity are in good agreement. The fluid saturation model applied to the 2D-NMR results and T1T2 maps, was iteratively improved based on the cross-correlation between Excess Carbon provided from Nuclear Spectroscopy (NS) and undercall porosity from NMR...

... (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...

..., 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...

... 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 and similar internal defects...

... B o Where, A : area of the Voronoi cell, in [m 2 ] h : net pay in the Voronoi cell, in [m] φ : porosity in the Voronoi cell, in [-] S o : recent oil saturation in the Voronoi cell, in [-] B o : recent formation volume factor in the Voronoi cell...

... 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...

... Abstract Exploration wells in India are being drilled to target tight sandstone reservoirs of Mesozoic age with potential hydrocarbon accumulation in the Gulf of Kutch (GK) & Gulf of Saurashtra (GS). Typical permeability ranges from 0.1 md to 2.5 md with effective porosity in range of 8...

... 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...

... 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...

... 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...

..., 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, the poroperm models determined from...

... with core porosity as a secondary factor, both as a function of the well logging records. The well logging attributes, which were obtained from an oil well, include neutron porosity and water saturation given the well depth. The cross-variogram was adopted to quantify the dissimilarity between known...

... Logging While Drilling (LWD) tools to make timely completions decisions. The petrophysical properties critical for these decisions are porosity, permeability, irreducible water saturation (Swi) and total water saturation (Sw). Occasionally, Nuclear Magnetic Resonance (NMR) logs are run to characterize Swi...