G01V5/045

Algorithm-Free, Data-Centric Multivariate Inversion For Pulsed Neutron Logging

A method and system for identifying one or more petrophysical properties in a formation. The method and system may include disposing a pulsed-neutron logging tool into a borehole that is disposed in a formation, emitting a neutron from a neutron source on the pulsed-neutron logging tool into the formation, and capturing one or more gammas expelled from formation in response to the neutron from the neutron source to form a plurality of pulsed neutron logging (PNL) measurements in a log. The method and system may further include comparing the log to a database with a cost function to form a solution; and identifying a plurality of petrophysical properties based at least in part on the solution.

Data-driven solutions for inverse elemental modeling

Methods for determining mineral compositions of materials are described. The methods include obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix of the geologic sample from the elemental data, calculating an artificial correlation matrix, comparing the measurement correlation matrix and the artificial correlation matrix to determine an error value, minimizing the error value by updating the artificial correlation matrix and comparing the measurement correlation matrix to the updated artificial correlation matrix, and determining a mineral composition of the geologic sample based on the minimized measurement correlation matrix.

Acquiring formation porosity using multiple dual-function detectors and neural network

A method and apparatus of logging downhole formation and obtaining formation porosity using a pulsed neutron generator and multiple dual-function detectors that detect both neutrons and gamma rays. Ratios of thermal neutrons, epithermal neutrons, and capture gamma rays from multiple detectors are utilized to obtain neutron porosity, gamma porosity and formation porosity by using a trained neural network. The method can provide formation porosity measurements independent of environmental factors, such as borehole size, tool standoff, salinity, temperature, pressure, etc. Effects from environmental factors can be automatically corrected by employing multiple dual-function detectors that detect both neutrons and gamma rays.

Real-Time Output Correction of Detector Outputs Resulting from Azimuthal X-Ray Source Variations Using Monitoring Detectors
20220299673 · 2022-09-22 ·

A measurement compensation mechanism for an electronic radiation source-based borehole logging tool that compensates for geometric variations in the direction output of an x-ray source is provided, the measurement compensation system including: at least one electronic radiation source; at least one radiation shield; at least three reference detectors; and at least one borehole measuring radiation detector. A method of compensating the measurement of an electronic radiation source-based borehole logging tool that compensates for geometric variations in the direction output of an x-ray source is also provided, the method including at least: measuring an azimuthal distribution of radiation intensities equidistant from an electronic radiation source in order to correct a measured radiation value of a borehole-measuring radiation detector relative to the borehole-measuring radiation detector's azimuthal measurement direction.

METHOD AND SYSTEM FOR DETERMINING PERMEABILITY AND LOST CIRCULATION

A method may include obtaining first nuclear magnetic resonance (NMR) data and acquired permeability data regarding a geological region of interest. The method may further include determining, using a neural network and second NMR data, predicted permeability data regarding a predetermined formation within the geological region of interest. The neural network may be trained using the first NMR data and the acquired permeability data. The method may further include determining a predetermined fracture size within the predetermined formation based on the predicted permeability data. The method may further include determining a predetermined type of lost circulation material (LCM) based on the predetermined fracture size. The method may further include transmitting a command to a well system that triggers a well operation using the predetermined type of LCM.

Nuclear Logging Tools and Applications Thereof
20220252753 · 2022-08-11 ·

A nuclear logging tool has a housing, one or more neutron sources, one or more shields, and two or more detectors disposed about the housing. Each of the one or more neutron sources is configured to generate neutrons in pulses or continuously and each of the two or more detectors is operable to detect neutrons and gamma rays. The two or more detectors include a first detector disposed at a first distance from a first neutron source and a second detector disposed at a second distance from the first neutron source. The first distance is shorter than the second distance. The first distance and the second distance is measured in the longitudinal direction of the housing. Each shield is operable to absorb neutrons and gamma rays and is disposed inside the housing between one of the one or more neutron source and one of the one or more detectors.

Method and Apparatus for Enhanced Formation Porosity Measurement Using Pulsed Neutron Source and Dual-Function Detectors
20220252754 · 2022-08-11 ·

Formation porosity is measured using a logging tool that has a pulsed neutron generator and multiple dual-function detectors that detect both neutrons and gamma rays. Ratios of thermal neutrons, epithermal neutrons, and capture gamma rays from multiple detectors are utilized to obtain multiple neutron porosities and multiple gamma-ray porosities within different depth of investigations. The neutron porosity and the gamma-ray porosity may be further corrected by excluding peak areas attributable to hydrogen and/or chlorine to reduce the shale effect and/or the chlorine effect. The neutron porosity and the gamma-ray porosity may be combined to provide improved porosity evaluations within different depth of investigations into the formation in the entire porosity measurement range (0-100 p.u.).

Acquiring Formation Porosity Using Multiple Dual-Function Detectors and Neural Network
20220252755 · 2022-08-11 ·

A method and apparatus of logging downhole formation and obtaining formation porosity using a pulsed neutron generator and multiple dual-function detectors that detect both neutrons and gamma rays. Ratios of thermal neutrons, epithermal neutrons, and capture gamma rays from multiple detectors are utilized to obtain neutron porosity, gamma porosity and formation porosity by using a trained neural network. The method can provide formation porosity measurements independent of environmental factors, such as borehole size, tool standoff, salinity, temperature, pressure, etc. Effects from environmental factors can be automatically corrected by employing multiple dual-function detectors that detect both neutrons and gamma rays.

SYSTEMS AND METHODS FOR DETERMINING TUBING DEVIATIONS

A method for determining a tubing deviation from nuclear measurement data includes acquiring neutron measurement data from a wellbore. The method also includes identifying one or more features from the neutron measurement data. The method further includes determining, based at least in part on a pattern matching algorithm, that the one or more features are indicative of a tubular deviation. The method also includes determining, based at least in part on a comparison between the one or more features, a deviation amount.

DATA-DRIVEN SOLUTION FOR INVERSE ELEMENTAL MODELING

Methods for determining mineral compositions of materials are described. The methods include obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix of the geologic sample from the elemental data, calculating an artificial correlation matrix, comparing the measurement correlation matrix and the artificial correlation matrix to determine an error value, minimizing the error value by updating the artificial correlation matrix and comparing the measurement correlation matrix to the updated artificial correlation matrix, and determining a mineral composition of the geologic sample based on the minimized measurement correlation matrix.