The present invention relates to a method for determination of real subsoil composition or structure characterized in that the method comprises: —receiving a model representing the real subsoil, said model comprising at least one parametric volume describing a geological formation in said model, said volume having a plurality of cells; —for each cell in the plurality of cells, determining a quality index (QI.sub.cell) function of a respective position of the cell in the geological formation; —receiving a set of facies, each facies in said set being associated with a proportion and a quality index ordering in said formation; —associating a facies to each cell, said association comprising: /a/ selecting a cell with a lowest quality index within cells in the plurality of cells having no facies associated to; /b/ associating, to said cell, a facies with a lowest Quality index ordering within facies of the set of facies for which the respective proportion is not reached in the formation; /c/ reiterating steps /a/ to /c/ until all cells in the plurality of cells are associated with a facies.

The present invention relates to a method for determination of real subsoil composition or structure characterized in that the method comprises: —receiving a model representing the real subsoil, said model comprising at least one parametric volume describing a geological formation in said model, said volume having a plurality of cells; —for each cell in the plurality of cells, determining a quality index (QI.sub.cell) function of a respective position of the cell in the geological formation; —receiving a set of facies, each facies in said set being associated with a proportion and a quality index ordering in said formation; —associating a facies to each cell, said association comprising: /a/ selecting a cell with a lowest quality index within cells in the plurality of cells having no facies associated to; /b/ associating, to said cell, a facies with a lowest Quality index ordering within facies of the set of facies for which the respective proportion is not reached in the formation; /c/ reiterating steps /a/ to /c/ until all cells in the plurality of cells are associated with a facies.

The present disclosure introduces an apparatus including a toolstring for use in a tubular extending into a subterranean formation. The toolstring includes modular components that include one or more caliper modules and a power and control (P/C) module. The one or more caliper modules each include radially rotatable fingers for sensing an internal diameter of the tubular. The P/C module is operable for distributing power and control signals to the one or more caliper modules. The caliper and P/C modules are mechanically and electrically interconnected by common lower interfaces of the caliper and P/C modules.

A method for a hyperparameter optimization for an automated ensemble machine learning model includes: generating an initial population of a plurality of machine learning (ML) models with a plurality of randomly chosen hyperparameters; calculating a loss function for each of the plurality of machine learning models; creating a new population of ML models and generating a base learner model using the hyperparameters of the best model. The method for creating the new population include the steps of: (a) selecting multiple best models with least errors as parents from a previous generation; (b) creating an offspring of the new population of ML models with a crossover probability and a mutation probability; and (c) repeating the steps (a) and (b) until a number of generations is reached and reporting the hyperparameters of the best model.

An automated hydraulic fracturing system and method for controlling various aspects of a fracking operation is disclosed. A master controller receives various operating parameters, such as desired operating conditions, information about a fracking site, information about trailers and/or other equipment at the fracking site, and/or sensor signals. The master controller may access one or more trailer model(s) that model various parameters of equipment (e.g., engines, transmissions, pumps, trailers, etc.) at the fracking site as a function of controlled operating conditions. The master controller uses the trailer models in conjunction with operating parameters to generate control signals that automatically control the various equipment at the fracking site to optimize various desired outcomes, such as reduced operating costs, reduced emissions, reduced idle time, increased efficiency, etc. The control signals are sent to controllers of the individual equipment to control the operations of those equipment and achieve an overall optimized fracking operation.

An automated hydraulic fracturing system and method for controlling various aspects of a fracking operation is disclosed. A master controller receives various operating parameters, such as desired operating conditions, information about a fracking site, information about trailers and/or other equipment at the fracking site, and/or sensor signals. The master controller may access one or more trailer model(s) that model various parameters of equipment (e.g., engines, transmissions, pumps, trailers, etc.) at the fracking site as a function of controlled operating conditions. The master controller uses the trailer models in conjunction with operating parameters to generate control signals that automatically control the various equipment at the fracking site to optimize various desired outcomes, such as reduced operating costs, reduced emissions, reduced idle time, increased efficiency, etc. The control signals are sent to controllers of the individual equipment to control the operations of those equipment and achieve an overall optimized fracking operation.

A tool including a dispersive spectrometer deployable within a wellbore is provided. The dispersive spectrometer includes a waveguide layer to detect electromagnetic radiation according to wavelength. The dispersive spectrometer also includes a plurality of detector elements disposed along the waveguide layer to detect electromagnetic radiation associated with a portion of the wavelength of the electromagnetic radiation. A method for using the tool in a subterranean application is also provided.

A tool including a dispersive spectrometer deployable within a wellbore is provided. The dispersive spectrometer includes a waveguide layer to detect electromagnetic radiation according to wavelength. The dispersive spectrometer also includes a plurality of detector elements disposed along the waveguide layer to detect electromagnetic radiation associated with a portion of the wavelength of the electromagnetic radiation. A method for using the tool in a subterranean application is also provided.

The present disclosure relates to systems, methods, and non-transitory computer-readable media for dynamically utilizing offset drill-well data generated within a threshold geographic area to determine formation-top trends and identify formation-top depths at a subject drill-well site. To do so, in some embodiments, the disclosed systems estimate a variogram for observed formation-top depths of a subset of offset drill-wells, and, in turn, map a predicted response from the estimated variogram. For example, using weighted combinations (e.g., with Kriging weights) of the formation-top depths of the subset of offset drill-wells, the disclosed systems can map a continuous surface of a formation and identify a top-depth thereof. Moreover, the disclosed system can do so for multiple formations at the subject drill-well site, and (in real-time in response to a user input) provide for display at a client device, the associated formation-top depths, various predicted drilling events and/or predicted drilling metrics.

The present disclosure relates to systems, methods, and non-transitory computer-readable media for dynamically utilizing offset drill-well data generated within a threshold geographic area to determine formation-top trends and identify formation-top depths at a subject drill-well site. To do so, in some embodiments, the disclosed systems estimate a variogram for observed formation-top depths of a subset of offset drill-wells, and, in turn, map a predicted response from the estimated variogram. For example, using weighted combinations (e.g., with Kriging weights) of the formation-top depths of the subset of offset drill-wells, the disclosed systems can map a continuous surface of a formation and identify a top-depth thereof. Moreover, the disclosed system can do so for multiple formations at the subject drill-well site, and (in real-time in response to a user input) provide for display at a client device, the associated formation-top depths, various predicted drilling events and/or predicted drilling metrics.