... of injected fluids. We then developed an inversion framework that can simultaneously estimate subsurface volumetric changes and any potential fault slip using the InSAR data. We also compared the InSAR data with other data such as nearby seismicity to further understand the fluid movement and fault slip...

... Abstract A Wave-Equation Based AVO inversion (WEB-AVO) study has been successfully completed in the Vaca Muerta Formation, Neuquén Basin, onshore Argentina. The project was designed to answer key reservoir questions, including better definition of the target zone base, more accurate elastic...

... inversion broadens the spectrum, enabling further refinement through phase decomposition. High-frequency residual phase component inversion improves facies identification compared to full-phase methods, as shown in synthetic tests. Applied to the Clearfork Formation (Central Basin Platform, USA...

... sedimentary rock complex reservoir urtec information resistivity variation karst cavern identification interpretation resistivity magnetotelluric unconventional resource technology conference texas deep imaging inversion bone spring fm URTeC: 4043570 Karst Cavern Identification and Deep...

... zones and to geosteering wells is crucial. geologist complex reservoir geology clastic rock sedimentary rock operator mudstone unlocking shale poten0al produc0on decision reservoir characterization rock type inversion unconventional reservoir drilling hazard information migration...

... completion designs. This new workflow is applied to evaluate a real-field shale gas well's profile. The results are summarized in this article. First, a single wellbore simulation takes 1 second to simulate 175 clusters and the profile inversion takes under 10 minutes. Next, the workflow has great capability...

... Abstract A seismic characterization workflow based on stochastic inversion applied on the central-east region on the Neuquén Basin is presented. Main objective of the project is to assist the development team and to define the best spots during derisking. Multiple realizations of a stochastic...

... unconventional play united states government complex reservoir inversion log analysis venezuela government reservoir characterization la luna formation seismic inversion petroleum play type reverse fault geological subdiscipline llf exploration rock type north america government seismic model...

... the superposition of a new single fracture finite conductivity solution based upon the asymptotic pressure methodology. This methodology is an extension of the Green’s function to arbitrary fractured well geometry with an explicit time dependence and replaces the need for an inverse Laplace transform solution...

... and Xu, 2002) more suitable for unconventional reservoirs. sedimentary rock geology neural network artificial intelligence machine learning geologist upstream oil & gas united states government mudrock prediction mudstone inversion porosity kerogen convolutional neural network...

... analysis was performed, then seismic AVO conditioning and finally, seismic AVO inversion was performed to extract elastic properties from seismic angle stacks. Parallelly in phase 2, a detailed pore pressure and geomechanics analysis was performed on a series of wells throughout the study area. 1D...

... are intended for CO2 sequestration, and the Belloy formation is utilized for water disposal. Amplitude versus Offset (AVO) seismic inversion methods are used to determine the formations’ elastic properties. Rock physics analysis is conducted to estimate porosity and mineralogy variations allowing for a better...

... that provide accurate compressional, shear, and anisotropy from the wellsite using new robust algorithms. A multimode (flexural and Stoneley) physics-based machine learning inversion is used to determine anisotropic constants accounting for mud-speed variations in the borehole to obtain the anisotropic...

... Abstract The objective of this work was to provide high-resolution elastic property volume through the Modified Stochastic Inversion (MSI) workflow with careful consideration of the geologic context and availability of the data. Advances in drilling and completions have unlocked large amounts...

... observed in LF-DAS data. In the second method, LF-DAS data is matched by solving the inverse problem. The forward model computes far-field strains due to an elliptical hydraulic fracture. Fracture and geomechanical parameters are optimized to best fit the observed LF-DAS signal via the modified Levenberg...

... Abstract The data describing the stress field normally includes either direct in-situ measurements in the wellbore, or indirect data – focal mechanisms of microearthquakes in the area of interest. Joint inversion of the source mechanisms and various types of borehole data allows recovering...

...-deployed geophone arrays and an array of “superstations'' on the surface. All of the detected events (more than 17000 complete to −Mw1.2) were inverted for their moment tensors and a quality score was assigned to each inversion to determine the high-confidence (>95%) dataset. Mechanisms incongruent...

... surveys across core assets, in conjunction with acoustic log-based rock physics models, provided the basis for Seismic Rock Types (SRT) generated through the Joint Impedance Facies Inversion (JiFi) workflow. These seismic-scale rock types form the foundation for the 3D distribution of an integrated facies...

... anisotropy from the wellsite using new robust algorithms. A multimode (flexural and Stoneley) physics-based machine learning inversion is used to determine anisotropic constants accounting for mud speed variations in the borehole to obtain the anisotropic (transverse isotropic) mechanical properties...

... of the T1 and T2 oil signal before any possible alteration of the rock wettability resulting from cleaning. Using the measured clay-bound water (VCBW) from the NMR, a dual water CRIM dielectric inversion water volume model was developed that compensates for the difference between the salinities...