... in unconventional reservoirs located in the Catatumbo and Valle de Magdalena basins, where these resources are currently being analyzed. geologist fracture characterization complex reservoir inversion log analysis reservoir characterization dip-slip fault upstream oil & gas structural geology...

... 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...

... 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...

... 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...

... multilinear regression machine learning prediction inversion convolutional neural network geologist cnn complex reservoir reservoir geomechanics geological subdiscipline dataset facies probability kerogen reservoir properties quartz synthetic seismic catalogue unconventional shale reservoir...

... 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...

... 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...

... 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...

... 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...

... the effective stress from seismic data using a combination of elastic properties estimated from an AVO inversion and petrophysical parameters estimated from a rock physics inversion of seismic data from the Montney in NE British Columbia, Canada. Introduction Assuming a relaxed basin with zero tectonic...

... Abstract A key component of an unconventional reservoir development is 3D characterization. A necessary precursor for any seismic inversion work is an inversion feasibility study. We shall demonstrate a best practice inversion feasibility workflow that has several key components: regional...

... URTeC: 2442 Prediction of 3-D Facies and Petrophysical Models using Seismic Inversion and Advanced Statistical Data Analytics in Midland Basin Study Area V. Pandey1, T. Nekrasova1, I. Tsybulkina1, K. Clemons2, D. Li1, B. Six1, 1. CGG, 2. Lario Oil & Gas Company. Copyright 2020, Unconventional...

... resolution pinedale field distributive fluvial system lance pool architecture anticline inversion fluvial system facies distribution geocellular model Abstract Over the past twenty-five years, more than 3,500 wells have been drilled in the giant Pinedale Field in the northern Green River...

... needed to monitor in-line density heterogeneities of individual well-pairs. With minimal constraints, the 3D inverse models compare favorably to the reference density depletion models, with Pearson correlation coefficients for density of 0.41 and 0.79 for the 1.5 and 5 year epochs, respectively...

... in seismic data. energy economics shale gas shale oil reservoir characterization unconventional resource economics upstream oil & gas inversion workflow merge pre-stack inversion gather conditioning complex reservoir impedance urtec 2464 reflection data quality oil shale seismic...

... fracturing, an integrated workflow was developed utilizing a 3D simulation model combining seismic reflection, inversion, petrophysical and geological data. A 3D facies model based on object-oriented geostatistical modeling was constructed using a combination of vertical lithology proportion curves (from...