Abstract: Implementations claimed and described herein provide systems and methods for optimizing natural resource production. The systems and methods use a machine learning model to generate estimated near wellbore friction data associated with pressure and flow rate data.

Abstract: Disclosed are systems and methods for optimizing natural resource production. The system includes a data input system configured to receive input data from one or more channels of a data transmission cable. The wellbore data includes one or more noise patterns corresponding to one or more perforations in a well casing of a wellbore. The system further includes an analysis system configured to determine one or more cluster amplitudes corresponding to each of the one or more noise patterns and generate, using the one or more cluster amplitudes, a flow distribution model. The system also includes an output generation system configured to output the flow distribution model corresponding to the one or more perforation clusters.

Abstract: Implementations described and claimed herein provide systems and methods for detection, tracing, and prediction of frac hits (or other type of fracture driven interactions) via automated approaches using a variety of multi-disciplinary data. In some implementations, frac hits may be automatically detected in real-time using production data including pressure and production water, gas, and oil rates, as well as other in-well and well-head measurements via both deterministic and AI-based methods. The detected frac hit information may then be combined with completion data to identify likely subsurface location candidates for frac hit origins. Those location candidates can then be compared with subsurface fault distribution to identify the communication pathways for fluid and/or pressure. The above steps form a complete “Monitoring-Tracing-Prediction-Alerting” loop for frac hit diagnostics which can be used to support the completion and production of wells in real-time or in historical context.

Abstract: Method of estimating azimuthal amplitude gradient is disclosed. This method uses a correlation of seismic attributes within a sliding volume of data to obtain azimuthal gradient.

Abstract: Method of estimating azimuthal amplitude gradient is disclosed. This method uses a correlation of seismic attributes within a sliding volume of data to obtain azimuthal gradient.

Abstract: A new and improved multi-pin RF field replaceable mounting flange structure, to be mounted upon a RF hybrid assembly, comprises a predetermined arrangement of multi-pin coaxial electrical connectors integrally incorporated upon a single field replaceable mounting flange structure for enabling the connection of a plurality of coaxial cables onto a single field replaceable mounting flange structure such that the plurality of coaxial cables can be electrically connected in a more spatially efficient manner than has been previously capable of being achieved regardless of the particular number of coaxial electrical connectors being connected.

Abstract: A swingbolt hook includes a base having rear and front surfaces and extending along a base axis between first and second ends. Depending from the base is a swingbolt catch adapted for selective retaining engagement with the hook catch of a swingbolt. The swingbolt catch has base and distal ends and first and second opposed surfaces. Each of the first and second surfaces extends laterally between left and right sides and (i) the first surface extends between the front surface of the base and the distal end of the swingbolt catch and is adjacent to, and joined through a first transition region with, the front surface of the base and (ii) the second surface extends between the rear surface of the base and the distal end of the swingbolt catch and is joined, through a second transition region, with the rear surface of the base.