The disclosure provides a well integrity monitoring tool for a wellbore, a method, using a nuclear tool and an EM tool, for well integrity monitoring of a wellbore having a multi-pipe configuration, and a well integrity monitoring system. In one example, the method includes: operating a nuclear tool in the wellbore to make a nuclear measurement at a depth of the wellbore, operating an EM tool in the wellbore to make an EM measurement at the depth of the wellbore, determining a plurality of piping properties of the multi-pipe configuration at the depth employing the EM measurement, determining, employing the piping properties, a processed nuclear measurement from the nuclear measurement, and employing the processed nuclear measurement to determine an integrity of a well material at the depth and within an annulus defined by the multi-pipe configuration.

A grid-based source-tracing method and system for sewage outfalls and a storage medium are provided. The method specifically includes the steps of: dividing a river into multiple reaches; determining monitoring sites according to the divided reaches; acquiring on-line monitoring data of each of the monitoring sites, and calculating soft measurement data; determining a river reach with sewage outfalls according to upstream and downstream soft measurement data; and intensively arranging monitoring sites in the river reach with sewage outfalls to subdivide the river reach with sewage outfalls, thereby determining a position of a sewage outfall. The method divides the river into multiple reaches and performs the grid-based source-tracing for the sewage outfall of the river gradually. In real practice, with online conductivity and water level monitoring data, the method can effectively determine the river reach with sewage outfalls using soft measurement.

A grid-based source-tracing method and system for sewage outfalls and a storage medium are provided. The method specifically includes the steps of: dividing a river into multiple reaches; determining monitoring sites according to the divided reaches; acquiring on-line monitoring data of each of the monitoring sites, and calculating soft measurement data; determining a river reach with sewage outfalls according to upstream and downstream soft measurement data; and intensively arranging monitoring sites in the river reach with sewage outfalls to subdivide the river reach with sewage outfalls, thereby determining a position of a sewage outfall. The method divides the river into multiple reaches and performs the grid-based source-tracing for the sewage outfall of the river gradually. In real practice, with online conductivity and water level monitoring data, the method can effectively determine the river reach with sewage outfalls using soft measurement.

A method can include receiving multi-channel time series data of drilling operations; training a deep neural network (DNN) using the multi-channel time series data to generate a trained deep neural network as part of a computational simulator where the deep neural network includes at least one recurrent unit; simulating a drilling operation using the computational simulator to generate a simulation result; and rendering the simulation result to a display.

A method can include receiving multi-channel time series data of drilling operations; training a deep neural network (DNN) using the multi-channel time series data to generate a trained deep neural network as part of a computational simulator where the deep neural network includes at least one recurrent unit; simulating a drilling operation using the computational simulator to generate a simulation result; and rendering the simulation result to a display.

A method for performing a modified two point flux approximation scheme is disclosed. The method includes: obtaining a first pressure value for a first neighbor cell and a second pressure value for a second neighbor cell, where the first neighbor cell has a first value of a reservoir property and the second neighbor cell as a second value of the reservoir property; determining a first weight using the first pressure value and a second weight using the second pressure value; calculating a third value of the reservoir property as a weighted average of the first value and the second value; and applying the third value to the first neighbor cell.

A method for performing a modified two point flux approximation scheme is disclosed. The method includes: obtaining a first pressure value for a first neighbor cell and a second pressure value for a second neighbor cell, where the first neighbor cell has a first value of a reservoir property and the second neighbor cell as a second value of the reservoir property; determining a first weight using the first pressure value and a second weight using the second pressure value; calculating a third value of the reservoir property as a weighted average of the first value and the second value; and applying the third value to the first neighbor cell.

A vehicle monitoring system configured to detect and localise an anomaly in or on a vehicle. The system includes a detector configured to detect an invisible indicator originating from or emitted by the anomaly and generate a detection signal associated with the invisible indicator, a camera configured to capture an image of the vehicle, and a controller configured to process the detection signal generated by the detector and the image of the vehicle captured by the camera. The controller is further configured to, based on processing of the image and the detection signal, generate a visualisation of the detection signal overlaid onto the image of the vehicle for localisation of the anomaly in or on the vehicle.

A vehicle monitoring system configured to detect and localise an anomaly in or on a vehicle. The system includes a detector configured to detect an invisible indicator originating from or emitted by the anomaly and generate a detection signal associated with the invisible indicator, a camera configured to capture an image of the vehicle, and a controller configured to process the detection signal generated by the detector and the image of the vehicle captured by the camera. The controller is further configured to, based on processing of the image and the detection signal, generate a visualisation of the detection signal overlaid onto the image of the vehicle for localisation of the anomaly in or on the vehicle.

A method to estimate and model all or at least two parameters of hydraulic fracture geometry in predominantly horizontal or nearly horizontal wells, by use of inter-well electromagnetic recordings. In aspects, resistivity of the fracturing fluid is used in the modeling process.