Patent classifications
G01V2210/38
Manipulation of multi-component geophone data to identify downhole conditions
Methods and apparatus for using multi-component geophones and/or multi-component geophone arrays to measure flow-induced acoustic energy produced in wellbores are provided. With the use of the multi-component geophones, the measured acoustic energy may be resolved into its directional components. The computed directional energy components may be mathematically compared to numerically highlight ambient flow conditions (e.g., leaks in casing or other conduit, points of fluid entry/exit/restrictions between the casing and the formation). The use of an array of multi-component geophones allows for the use of geophone move-out curves to further identify acoustic energy source locations.
Method and apparatus for spectral noise logging
In the present invention that considerable advantage is to be gained in the provision of apparatus and methods for spectral noise logging that exhibit improved frequency resolution and thus sensitivity over those systems known in the art since this would allow for improved detection and characterization of fluid flow through, or behind, a casing of a well penetrating subsurface formations.
MANIPULATION OF MULTI-COMPONENT GEOPHONE DATA TO IDENTIFY DOWNHOLE CONDITIONS
Methods and apparatus for using multi-component geophones and/or multi-component geophone arrays to measure flow-induced acoustic energy produced in wellbores are provided. With the use of the multi-component geophones, the measured acoustic energy may be resolved into its directional components. The computed directional energy components may be mathematically compared to numerically highlight ambient flow conditions (e.g., leaks in casing or other conduit, points of fluid entry/exit/restrictions between the casing and the formation). The use of an array of multi-component geophones allows for the use of geophone move-out curves to further identify acoustic energy source locations.
Manipulation of multi-component geophone data to identify downhole conditions
Methods and apparatus for using multi-component geophones and/or multi-component geophone arrays to measure flow-induced acoustic energy produced in wellbores are provided. With the use of the multi-component geophones, the measured acoustic energy may be resolved into its directional components. The computed directional energy components may be mathematically compared to numerically highlight ambient flow conditions (e.g., leaks in casing or other conduit, points of fluid entry/exit/restrictions between the casing and the formation). The use of an array of multi-component geophones allows for the use of geophone move-out curves to further identify acoustic energy source locations.
NEURAL NETWORK FOR AUTOMATED MICROSEISMIC DETECTION AND LOCATION
A computer implemented method for detecting and locating microseismic events is provided. The method comprises using a processor set to receive a dataset from a number of real stations. The dataset comprises information associated with seismic signals in a time period. The processor set trains a neural network comprising a number of neural operators using the dataset. The number of neural operators comprise a combination of neural operator layers for identifying temporal-spatial information associated with the seismic signals in the time period. The neural network further comprises a classification model and a regression model. The classification model and the regression model are trained using the dataset and the temporal-spatial information associated with the seismic signals in the time period. The processor set detects and locates a number of seismic events using the trained neural network.