Patent ID: 11860325
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Measurement (Instruments)
Classification: CPC G  H  E | IPC E  G

Claim 10:
11. A method for drilling a new well in a subterranean formation by estimating a rock property away from a well, the method comprising:
accessing acquired three-dimensional (3D) seismic data that includes seismic traces from a 3D seismic survey of an area of interest;
generating an estimated rock property value of a formation zone away from a drilled well and included in the area of interest the generating being performed using one or more hardware processors, the acquired 3D seismic data, and a trained multi-head Convolutional Neural Network (CNN) model including a plurality of kernels of various sizes for determining spatial and temporal relationships of the acquired 3D seismic data at different resolutions;
updating a drilling program for a production system based on the estimated rock property value; and
drilling the new well in the area of interest and according to the drilling program,
wherein the multi-head CNN model includes a plurality of heads and a plurality of layers,
wherein each head of the plurality of heads is an input channel that reads the acquired 3D seismic data at a different resolution per input channel,
wherein each head includes a kernel of a different size in a one-dimensional (1D) convolution layer of the plurality of layers,
wherein a first layer of the plurality of layers receives the seismic traces as input,
wherein a second layer of the plurality of layers is the 1D convolution layer which scans the seismic traces, the second layer comprising sixty-four neurons, a kernel of a particular size, a stride of one, and a nonlinear activation function,
wherein a third layer of the plurality of layers performs a dropout procedure on one or more nodes of the multi-head CNN model at a drop rate of 0.3,
wherein a fourth layer of the plurality of layers performs a batch normalization and a concatenation of the output of the plurality of heads,
wherein a fifth layer of the plurality of layers is a densely-connected layer with one neuron,
wherein a sixth layer of the plurality of layers outputs the estimated rock property value.