Abstract: A computer-implemented method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; applying a model conditioned by petrophysical classifications to the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method generates seismic facies probability volumes.

Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Abstract: Systems and methods for training a model that refines estimated parameter values include computer processors and non-transitory electronic storage that stores subsurface map data sets that correspond to different subsurface volumes of interest, the system configured to obtain training data including unrefined subsurface map data sets specifying estimated parameter values of a first parameter as a function of position within corresponding subsurface volumes of interest, obtain an initial seismic mapping model, generate a conditioned seismic mapping model, and store the conditioned seismic mapping model in the electronic storage.

Abstract: A computer-implemented method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; applying a model conditioned by petrophysical classifications to the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method generates seismic facies probability volumes.

Abstract: Disclosed is a personal care product platform that implements a personal care product assessment process. The process is configured to analyze data regarding several factors that impact characteristics of an individual, such as the individual's hair. Based on that analysis, a selection of personal care products is provided to the individual that may be combined in defined ways to achieve the desired results for that individual's particular characteristics, desires, and preferences. The analysis determines both what personal care products to combine to satisfy the individual's current needs, as well as predicts what changes, if any, should be made to the personal care products to continue to satisfy the individual's needs as those needs change over time.

Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Abstract: A method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; performing a machine learning algorithm on the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method may be executed by a computer system.

Abstract: Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.

Abstract: Disclosed is a reconciliation system which implements a two-stage reconciliation process. During a Training Stage, useful features of training data are identified and used to generate a machine learning model. When new data is provided which requires reconciliation, a Classification Stage uses the machine learning model to first aggregate the new data into tranches of candidate matches based on the useful features. Then, records within each tranche may be matched in a much more efficient manner.

Abstract: Systems and methods for training a model that refines estimated parameter values include computer processors and non-transitory electronic storage that stores subsurface map data sets that correspond to different subsurface volumes of interest, the system configured to obtain training data including unrefined subsurface map data sets specifying estimated parameter values of a first parameter as a function of position within corresponding subsurface volumes of interest, obtain an initial seismic mapping model, generate a conditioned seismic mapping model, and store the conditioned seismic mapping model in the electronic storage.

Abstract: A method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; performing a machine learning algorithm on the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method may be executed by a computer system.

Abstract: A mobile pressure washing system is provided. The system comprises a frame with hinged elements for transitioning the frame between an upright position of use and a compact position for secure transport and storage of the system. System features further include a removable and replaceable tank adapted to fit on a portion of the frame, storage features, and pressure washing features such as a motor and pump.

Abstract: A device for extracting fluid from a surface comprises a head assembly, a base and a plurality of nozzles arranged in a plurality of rows. The base is adapted to slide across a surface and an accelerator is in fluid communication with the base, the accelerator having a plurality of trumpets extending through the accelerator from a bottom surface of the accelerator to a top surface of the accelerator.

Abstract: A mobile pressure washing system is provided. The system comprises a frame with hinged elements for transitioning the frame between an upright position of use and a compact position for secure transport and storage of the system. System features further include a removable and replaceable tank adapted to fit on a portion of the frame, removable storage features, and pressure washing features such as a motor and pump.

Abstract: An overall restoration system useful in removing moisture from structures is provided. The contemplated system includes a power and control device, a series of sensors, and a number of various different drying equipment, all capable of communication with a remote server. The system is highly portable, flexible and cost-efficient to manufacture and operate.

Abstract: A mobile pressure washing system is provided. The system comprises a frame with hinged elements for transitioning the frame between an upright position of use and a compact position for secure transport and storage of the system. System features further include a removable and replaceable tank adapted to fit on a portion of the frame, storage features, and pressure washing features such as a motor and pump.

Abstract: A mobile pressure washing system is provided. The system comprises a frame with hinged elements for transitioning the frame between an upright position of use and a compact position for secure transport and storage of the system. System features further include a removable and replaceable tank adapted to fit on a portion of the frame, removable storage features, and pressure washing features such as a motor and pump.