... characterization prediction geology log analysis geological subdiscipline geologist well logging machine learning hydraulic fracture geometry gamma ray log prediction ml model algorithm application poisson in-situ stress estimation fracture geometry interface workflow sonic log elastic property...

.... Understanding continued fracture growth after pump shutdown is of vital importance for some reasons. By considering the potential for continued growth, engineers can design fracturing treatments more accurately, ensuring the desired fracture geometry is achieved. The pressure behavior after shut-in can...

... the properties of the natural fracture network (orientation, density, length) control the created hydraulic fracture network, and (2) how microseismic (MS) and fiber optic data obtained during fracturing can be used to obtain better estimates of the fracture geometry in such complex systems. These effects...

... Abstract Rayleigh Frequency Shift Distributed Strain Sensing (RFS-DSS) has emerged as a crucial technique for characterizing fracture geometry in unconventional reservoirs by measuring strain responses along optical fibers. Several numerical modeling studies have been conducted to relate...

... of this paper is to show that it is possible and very useful to simulate and interpret these strain change plots to identify locations of producing perforation clusters and gain new insights into near wellbore fracture geometry. DSS-RFS fiber optic data is modeled during production from an unconventional...

...-L proppant model computes slurry flow in the Eulerian regime and proppant particles in the Lagrangian regime, while the S3D DDM hydraulic fracture model efficiently simulates 3D non-planar hydraulic fracture geometries. Synthetic case studies were conducted to examine the effect of cluster spacing...

... fracture propagation model, which can automatically calibrate the uncertain input parameters, quantify the associated uncertainties, and ultimately provide more reliable fracture geometries. The AI-assisted workflow incorporates the obtained data from different sources to a hydraulic fracturing simulator...

... Abstract This work aims to evaluate the fracture geometry and production scenarios comparing several fracturing fluids, such as slickwater and carbon-based fracturing fluids (CBFF), including two binary mixtures as approximations to anthropogenic CO 2 resulting from carbon capture (oxyfuel...

... models that can be used for optimal hydraulic fracturing designs (Pudugramam et al., 2022 ). Shell's project shed light on the use of strain signatures in monitoring wells to reveal information about fracture geometries in the far field to optimize their stage offsetting and well azimuth strategies...

... include fracturing plug failure, under/over stimulation and adverse well performance as stated in published literature. This paper addresses plug effectiveness and impacts on production, fracture geometry and well spacing using a historical review of fracturing plugs and a simulation-based approach. Using...

... Abstract Owing to well interference, the fracture geometries of child wells are sometimes more complex than initially expected. Some approaches or methodologies have been developed to evaluate the complex fracture geometries, however, the fracture geometries are still poorly understood...

... imaging) and far-field techniques (micro-seismic fracture mapping). These techniques provide an indirect and interpreted fracture geometry. Therefore, none of these methods consistently provides a fully detailed and accurate description of the characteristic of the subsurface hydraulic fractures...

... Abstract Reliable estimates of hydraulic fracture geometry help reduce the uncertainty associated with estimated ultimate recovery (EUR) forecasts and optimize field developing planning in unconventional reservoirs. For these reasons, operators gather information from different sources...

... shown that hydraulic fracture treatments develop a range of large-scale fracture networks. The effect of these various fracture geometries on production is a subject matter in question. The fracture networks approximated with micro-seismic mapping are integrated with a commercial numerical production...

... performance are the material's mechanical properties. This methodology is used to select the appropriate FFD materials to optimize fracture geometry in carbonate reservoirs. Successful applications prevent excessive water production and substantially increase hydrocarbon production as illustrated in a three...

... fracturing complex reservoir flow in porous media proppant fracturing materials equation of state pvt measurement co 2 application fracturing fluid fluid dynamics proppant concentration lifecycle analysis fracture geometry proppant distribution society of petroleum engineers upstream oil...

... and a focus on the better understanding, measurement and control of downhole pressures. The industry has also started to examine the relationship between downhole losses and fracture geometry. However, there has been very limited verification and utilization of such effort. Knowledge of the loss mechanism(s...

... in the area. Depletion, distances between producing wells, and a stress analysis was performed using fracture simulation software, and a consequent analysis of fracture geometry was applied. A bottom-hole gauge pressure profile assessment of nearby wells, including the pre-stimulation, shut-in, and post...

... the application of Diagnostic Fracture Injection Tests (DFIT), one can determine accurate estimates of closure pressure, net pressure, pore pressure, formation permeability, and induced fracture geometry. The Utica shale is among the most promising reservoirs of the future, but there is limited information...

.... With this analysis, we obtain a deeper understanding of the effectiveness of the field hydraulic fracturing operation. Although numerous simulators are developed for DTS data analysis, relatively few existing models can handle the full-physics such as complex fracture geometry and multiphase flow. Our inverse model...