G01V5/06

Gas isotope analysis

Systems and methods are provided for analyzing isotopes of a gas from a wellbore to determine geological information associated with the wellbore. A drill device can be used to drill rocks or particles in a wellbore, which can cause a gas to be released within the wellbore. Fluid can be pumped into the wellbore as the drill bit drills the rocks or particles and the fluid, along with the gas released, can flow through the wellbore and to a surface of the wellbore. A gas detector can be positioned near the wellbore for detecting an amount of gas and a type of gas in the fluid and gas mixture and transmitting data about the amount and type of the gas to a computing device. The computing device can output data based on the amount and type of gas in the mixture for determining geological information about the wellbore.

Gas isotope analysis

Systems and methods are provided for analyzing isotopes of a gas from a wellbore to determine geological information associated with the wellbore. A drill device can be used to drill rocks or particles in a wellbore, which can cause a gas to be released within the wellbore. Fluid can be pumped into the wellbore as the drill bit drills the rocks or particles and the fluid, along with the gas released, can flow through the wellbore and to a surface of the wellbore. A gas detector can be positioned near the wellbore for detecting an amount of gas and a type of gas in the fluid and gas mixture and transmitting data about the amount and type of the gas to a computing device. The computing device can output data based on the amount and type of gas in the mixture for determining geological information about the wellbore.

FIVE-POINT DECONVOLUTION INTERPRETATION METHOD FOR QUANTIFICATION OF URANIUM ORES BY GAMMA SPECTRUM LOGGING

A five-point deconvolution method for quantification of uranium ores by energy spectrum logging disclosed by the invention refers to: carry out γ spectrum logging along the borehole to obtain logging curves in multiple energy zones, using these logging curves and energy spectrum features, inversion calculate the distribution of uranium content along the borehole; the main features are: first, realize the subdivision interpretation of layered strata; second, realize multi-element stripping for energy spectrum logging; third, realize subdivision interpretation by the five-point deconvolution methods; fourth, on-site uranium ores quantification under fast spectral logging conditions can be realized; the invention also discloses two types of algorithm flows of “first stripping, then subdividing” and “first subdividing, then stripping” and the formula for solving the uranium/thorium/potassium content of the unit layer.

FIVE-POINT DECONVOLUTION INTERPRETATION METHOD FOR QUANTIFICATION OF URANIUM ORES BY GAMMA SPECTRUM LOGGING

A five-point deconvolution method for quantification of uranium ores by energy spectrum logging disclosed by the invention refers to: carry out γ spectrum logging along the borehole to obtain logging curves in multiple energy zones, using these logging curves and energy spectrum features, inversion calculate the distribution of uranium content along the borehole; the main features are: first, realize the subdivision interpretation of layered strata; second, realize multi-element stripping for energy spectrum logging; third, realize subdivision interpretation by the five-point deconvolution methods; fourth, on-site uranium ores quantification under fast spectral logging conditions can be realized; the invention also discloses two types of algorithm flows of “first stripping, then subdividing” and “first subdividing, then stripping” and the formula for solving the uranium/thorium/potassium content of the unit layer.

Shock resistant downhole gamma ray detector assembly

A downhole gamma ray detector having improved resistance to shocks and vibrations encountered during use of modern drilling techniques. The detector includes a scintillator with a window for emitting photons upon receipt of gamma rays. The window faces a photon-receiving end of a photomultiplier tube. The scintillator and the photomultiplier tube are held in a fixed arrangement with respect to each other to provide an empty gap between the window and the photon-receiving end of the photomultiplier tube.

Photoelectric absorption correction for wellbore logging

A system is disclosed for correcting Uranium-free gamma logs. The system may receive data about a subterranean formation from a gamma-ray-logging process in a wellbore. The system may apply a photoelectric-suppression estimator to the data to determine a photoelectric-suppression factor using stored mud parameters and a wellbore diameter value. The data may be corrected by the system by using the photoelectric-suppression factor to generate a Uranium-free, gamma-ray log. The system may output the Uranium-free, gamma-ray log for determining characteristics of the subterranean formation.

METHOD AND SYSTEM FOR DETERMINING GAMMA-RAY MEASUREMENTS USING A SENSITIVITY MAP AND CONTROLLED SAMPLING MOTION

A method may include obtaining, using a gamma-ray detector, first acquired gamma-ray data regarding a first core sample. The first acquired gamma-ray data may correspond to various sensor steps. The method may further include determining a sensitivity map based on the first acquired gamma-ray data. The method may further include obtaining, using the gamma-ray detector, second acquired gamma-ray data regarding a second core sample at the sensor steps. The method further includes generating a gamma-ray log using the sensitivity map and a gamma-ray inversion process.

SUBSURFACE CONTINUOUS RADIOISOTOPE ENVIRONMENTAL MONITOR
20230146249 · 2023-05-11 ·

A subsurface continuous radioisotope environmental monitor that provides a continuous monitoring of the possible presence of radioactive species in subsurface groundwater. The detector and all supporting system elements are specifically constructed and equipped to be permanently mounted in a well or borehole to continuously detect and record radiation decay of radioactive species that are borne by subsurface water flow to that sampling area. The system operates by placing a detection element in a housing such that subsurface water that reaches the bore or well can flow in contact with the detection element. The system can employ several detection modes and materials. The detector includes SiPMs operating in a coincidence spectroscopy configuration to significantly reduce spurious signals due to thermal noise as well as increasing the total amount of signals collected.

SUBSURFACE CONTINUOUS RADIOISOTOPE ENVIRONMENTAL MONITOR
20230146249 · 2023-05-11 ·

A subsurface continuous radioisotope environmental monitor that provides a continuous monitoring of the possible presence of radioactive species in subsurface groundwater. The detector and all supporting system elements are specifically constructed and equipped to be permanently mounted in a well or borehole to continuously detect and record radiation decay of radioactive species that are borne by subsurface water flow to that sampling area. The system operates by placing a detection element in a housing such that subsurface water that reaches the bore or well can flow in contact with the detection element. The system can employ several detection modes and materials. The detector includes SiPMs operating in a coincidence spectroscopy configuration to significantly reduce spurious signals due to thermal noise as well as increasing the total amount of signals collected.

SYSTEM AND METHOD FOR RADIOACTIVITY PREDICTION TO EVALUATE FORMATION PRODUCTIVITY
20230142227 · 2023-05-11 ·

Systems and methods for evaluating a subsurface region of the earth for hydrocarbon exploration, development, or production are disclosed. Embodiments of the present disclosure are configured to determine advanced radioactive formation data from commonly acquired well logging data sets. In particular, a predictive model is trained to generate “synthetic” spectral gamma ray logs are from basic neutron, density and total gamma ray logs measured from a well within the formation. The predictive model comprises a neural network that is trained using multi-resolution graph clustering techniques to correlate patterns in the density, neutron and gamma ray log data to patterns in spectral gamma ray log data. Embodiments of the present disclosure are further configured to use the synthetic spectral gamma ray logs output by the model to quantify the clay content of the formation, its permeability and determine a hydrocarbon productivity index for the formation.