Patent ID: 11892591
Assignee: VISURAY INTECH LTD (BVI)
Field: Measurement (Instruments)
Classification: CPC G  E | IPC E  G

Claim 0:
1. A method for well integrity assessment across a depth interval of a cased wellbore having one or more casing strings using machine learning, comprising:
a. collecting scattered X-ray signals from a plurality of X-ray detectors arranged within a well logging tool while that tool operates in one or more wellbores with known wellbore characteristics;
b. associating the known wellbore characteristics with the collected scattered X-ray signals;
c. training a machine learning model using the collected scattered X-ray signals and associated wellbore characteristics to produce a trained model that predicts wellbore characteristics from scattered X-ray signals;
d. collecting further scattered X-ray signals from the plurality of X-ray detectors arranged within a well logging tool while that tool operates in a wellbore with unknown wellbore characteristics;
e. applying the trained machine learning model to the collected further scattered X-ray signals to predict unknown wellbore characteristics; and
f. assessing the well integrity using the predicted wellbore, characteristics,
g. wherein the steps of collecting the scattered X-ray signals and collecting the further scattered X-ray signals each comprise collecting the signals synchronously from all of the plurality of detectors, and
h. wherein the steps of training the machine learning model using the scattered X-ray signals arising from X-rays above one or more energy thresholds and applying the trained machine learning model to the further scattered X-ray signals arising from X-rays above one or more energy thresholds comprise training the machine learning model and applying the trained machine learning model using X-ray signals from two or more energy thresholds in conjunction.