公开(公告)号：US20240240554A1

公开(公告)日：2024-07-18

申请号：US18096402

申请日：2023-01-12

Applicant: Saudi Arabian Oil Company

Inventor： Diego Rovetta ,  Daniele Colombo ,  Eddy Revelo Obando ,  Ersan Turkoglu

IPC: E21B47/18 ,  G01V1/28

CPC classification number: E21B47/18 ,  G01V1/282 ,  E21B2200/22

Abstract: Methods and systems for training a machine learning model to process microseismic data recorded during fracturing of a subterranean geological formation are configured for selecting a volume in the subterranean geological formation, the volume comprising a set of vertices and a center, the set of vertices defining a first dimension; determining seismogram data for sources at the vertices of the volume and at the center of the volume; generating training data from the seismogram data, the training data relating values of seismogram data to values of moment tensor components; training a machine learning model using the training data; and determining, based on the trained machine learning model, a second dimension defined for the set of vertices, the second dimension being a maximum value enabling an accuracy for outputs of the trained machine learning model that satisfies a threshold.