.... In such domains, the integration of sonic log-derived information into the joint inversion problem is critical as the scale is fundamentally different. Our algorithm respects the resolution of sonic measurement, while it calibrates the wavelength where microseismic data have sensitivity: the number of unknown...

... the high-definition (HD-RMWD), and the three-dimensional (3D-RMWD) systems, which convert ultra-deep electromagnetic measurements into a map of the resistivity profile around the borehole. The HD-RMWD provides multilayer detection using a 1D deterministic parametric inversion engine that provides...

... (BSS-ICA), a machine learning algorithm. These results were then compared against those obtained from traditional two-dimensional NMR (2D-NMR) maps, specifically the T1T2 maps, that rely on the simultaneous inversion for T1 and T2. An adequate data acquisition sequences or logging activations ensured...

... is based on grid tomographic inversion with structural constraints. The new method allows to build a high-precision velocity model, which can help improve the accuracy of pore pressure prediction. The research results based on physical model data show that this method can improve the modeling accuracy...

... with known defects. A data-processing workflow, including multizone calibration and model-based inversion, is proposed to estimate the tubulars electrical conductivity, magnetic permeability, wall thickness, and eccentricity. An in-situ, multizone calibration method is applied to remove adjacent tubings...

... complex shallow sediments. Instantaneous amplitude, phase, and frequency are the most widely used seismic attributes to indicate geological features, but those time-domain data are too limited to define an accurate subsurface model in depth. Therefore, seismic inversion is also required to generate...

... and deployed. During the execution, the Ultra Deep Azimuthal Resistivity Tool real-time inversion mapped the reservoir geometry, revealing resistive layers within the Garn formation, thereby facilitating optimal placement of the well to achieve the set objectives. The well execution was largely considered...

... relied on one-dimensional (1-D) inversions that accounts only for changes in resistivity above or below the wellbore. When geology is complex, resulting in lateral changes in resistivity, 3-D inversion of EM data is required to provide increased reservoir understanding. This paper presents a case study...

... quantitative information on the composition of the sediments and their physical properties. Seismic inversion is a method to convert the wave signals from time-to space-domain and derive specific material properties by using iterative numerical modeling. In this paper, we introduce a probabilistic seismic...

... the predictability of geohazards for the entire reservoir overburden section. A variety of seismic volumes including amplitude reflection, amplitude versus offset (AVO), seismic inversion, seismic velocity, coherence data, etc. allows for the optimization of interpretations such as stratigraphy, structure, and rock...

... upstream oil & gas target layer gamma curve oilfield bottom water reservoir artificial intelligence machine learning application inversion oil column height reservoir characterization geological guidance technology drilling reservoir Zhen zhenlai . Research and Application...

... in Guantao group for the first time. The old seismic data is wide, but the bandwidth is narrow. The new data bandwidth is large, but the coverage is small. Besides, the impedance difference of sand and mudstone is small. The traditional impedance inversion can't distinguish them effectively. It's very...

.... 1D density upscaling profile), as this is then transferred to a probabilistic geophysical inversion, including the corresponding uncertainty propagation and. gas hydrate material property machine learning well-logging data seismic data upstream oil & gas artificial intelligence...

...Abstract Abstract The application of seismic inversion techniques to the foundation and drilling top hole zones has garnered significant interest in recent years. The shift towards more geologically complex and deeper water sites, combined with the global economic climate, has driven...

... confidence level. The application of method is shown through few examples. inversion tool response log analysis noise conductivity artificial intelligence electromagnetic property probability distribution frequency confidence interval permittivity well logging criteria reservoir...

... in terms of their P-impedances. These sands can be separated stratigraphically. The procedure consists of two primary steps. First is the inversion of post-stack amplitude data for P-impedance, relying on proper preservation of amplitudes. Second is the use of appropriately calibrated rock-physics models...

... and stratigraphic inhomogeneities. Traditional tomographic velocity inversion methods could not provide sufficient resolution of the small-scale velocity anomalies within the MTC. As a result, seismic events below the MTC appeared distorted and out of focus. Multiple iterations of high-frequency full waveform...

... remediation oil color oilfield chemistry hydrate remediation asphaltene gradient remediation of hydrates scale remediation reservoir characterization variation inversion wax inhibition compartmentalization flow assurance Mullins , O.C. ; Wang , K. ; Hernandez , D. ; Pomerantz...

... impedances. High-quality seismic data has made inversion of that data for elastic properties reliable. Petrophysical and elastic properties from well-log data, along with a rock-physics model, explain the relationships among the elastic properties and the reservoir properties of interest. However, ambiguity...

... probabilities using seismic AvO inversion and Bayesian facies classification. As part of the seismic inversion, 3D dynamic Young's Modulus and Poisson's Ratio volumes were derived. In parallel, a finite-element mesh for geomechanical modelling was created from the structural interpretation and then populated...