A method including receiving, at a data distribution platform, a selection of a data package comprising a high fidelity ata package. The method also includes filtering, automatically by a filtering application of the data distribution platform, the high fidelity data package to form a marketing data package. Filtering includes removing sufficient data from the high fidelity data package such that the marketing data package is a marketing data package. The method also includes publishing the marketing data package within the data distribution platform.

A method of imaging a wellbore casing using an ultrasonic sensing system through the material of a drill string as the drill string is tripped out of the wellbore.

A construction method of mine intelligent management and control platform based on a geological survey guarantee system includes: constructing a unified data center and a multi-dimensional (x, y), (x, y, t), (x, y, z) and (x, y, z, t) geological survey guarantee system platform, and realizing dynamic processing and multi-dimensional visual exhibition of geological survey data, to complete construction of the basic mine intelligent management and control platform and a visual operation interface; by using the multi-dimensional geological survey guarantee system as a base, constructing and accessing scenes and data of different types of safe-production systems, to realize visualized patrolling inspection, digital twinning and remote industrial control; and realizing deep fusion, decision-making analysis and visual cooperative management and control of multi-source geological survey data and data of safe production and operation, to form the mine intelligent management and control platform.

A construction method of mine intelligent management and control platform based on a geological survey guarantee system includes: constructing a unified data center and a multi-dimensional (x, y), (x, y, t), (x, y, z) and (x, y, z, t) geological survey guarantee system platform, and realizing dynamic processing and multi-dimensional visual exhibition of geological survey data, to complete construction of the basic mine intelligent management and control platform and a visual operation interface; by using the multi-dimensional geological survey guarantee system as a base, constructing and accessing scenes and data of different types of safe-production systems, to realize visualized patrolling inspection, digital twinning and remote industrial control; and realizing deep fusion, decision-making analysis and visual cooperative management and control of multi-source geological survey data and data of safe production and operation, to form the mine intelligent management and control platform.

Embodiments provide for a method that utilizes the azimuthally spaced receivers of a sonic logging tool. Signals from monopole and dipole sources are reflected from the geologic interfaces and recorded by arrays of receivers of the same tool. For the incident P-waves from the monopole source, phase arrival times for the azimuthal receivers are compensated for stacking using properties of wave propagation in the borehole, and for the incident SH-waves from the dipole source, signs of waveforms for the receivers are changed for specified azimuths.

A method for performing wellbore correlation across multiple wellbores includes predicting a depth alignment across the wellbores based on a geological feature of the wellbores. Predicting a depth alignment includes selecting a reference wellbore, defining a control point in a reference signal of a reference well log for the reference wellbore, and generating an input tile from the reference signal, the control points, and a number of non-reference well logs corresponding to non-reference wellbores. The well logs include changes in a geological feature over a depth of a wellbore. The input tile is input into a machine-learning model to output a corresponding control point for each non-reference well log. The corresponding control point corresponds to the control point of the reference log. Based on the corresponding control points output from the machine-learning model, the non-reference well logs are aligned with the reference well log to correlate the multiple wellbores.

Systems and methods include a computer-implemented method for determining normalized apparent power. Drilling acoustic signals corresponding to a time domain and generated during drilling of a well. A fast Fourier transformation (FFT) is performed using the drilling acoustic signals to generate FFT data. Normalized FFT data is generated using normalization parameters and a drill string rotation rate record of a drill string used to drill the well. The drill string rotation rate is received during drilling. Normalized apparent power is determined from data points of a predetermined top percentage of the normalized FFT data within a lithological significant frequency range. The normalized apparent power is a measure of the power of the drilling acoustic signals and it is a function of the amplitude and frequency of the normalized FFT data. The lithological significant frequency range is a frequency range within which the drill sounds are more closely related with lithology.

Systems and methods include a computer-implemented method for determining normalized apparent power. Drilling acoustic signals corresponding to a time domain and generated during drilling of a well. A fast Fourier transformation (FFT) is performed using the drilling acoustic signals to generate FFT data. Normalized FFT data is generated using normalization parameters and a drill string rotation rate record of a drill string used to drill the well. The drill string rotation rate is received during drilling. Normalized apparent power is determined from data points of a predetermined top percentage of the normalized FFT data within a lithological significant frequency range. The normalized apparent power is a measure of the power of the drilling acoustic signals and it is a function of the amplitude and frequency of the normalized FFT data. The lithological significant frequency range is a frequency range within which the drill sounds are more closely related with lithology.

Systems and methods identify events during a well operation. Systems and methods receive data identifying parameters for the event related to the downhole well. An interactive graphical representation of a hierarchical taxonomy for selection of a selected classification for the event is displayed. The hierarchical taxonomy includes a plurality of classifications of well operation. A tool for identification and classification for the event is presented. The tool also serves for the purpose of data collection to allow development of automatic well operation events recognition models. The data identifying the parameters for the event are compared to historic data related to a plurality of events identified with the selected classification to determine one or more performance parameters for the event.

Systems and methods identify events during a well operation. Systems and methods receive data identifying parameters for the event related to the downhole well. An interactive graphical representation of a hierarchical taxonomy for selection of a selected classification for the event is displayed. The hierarchical taxonomy includes a plurality of classifications of well operation. A tool for identification and classification for the event is presented. The tool also serves for the purpose of data collection to allow development of automatic well operation events recognition models. The data identifying the parameters for the event are compared to historic data related to a plurality of events identified with the selected classification to determine one or more performance parameters for the event.