MACHINE LEARNING INVERSION USING BAYESIAN INFERENCE AND SAMPLING

    公开(公告)号:US20230289499A1

    公开(公告)日:2023-09-14

    申请号:US17693261

    申请日:2022-03-11

    CPC classification number: G06F30/27 G01V1/282

    Abstract: A system and methods for determining an updated geophysical model of a subterranean region of interest are disclosed. The method includes obtaining a preprocessed observed geophysical dataset based, at least in part, on an observed geophysical dataset of the subterranean region of interest, and forming a training dataset composed of a plurality of geophysical training models and corresponding simulated geophysical training datasets. The method further includes iteratively determining a simulated geophysical dataset from a current geophysical model, determining a data loss function between the preprocessed observed geophysical dataset and the simulated geophysical dataset, training a machine learning (ML) network, using the training dataset, to predict a predicted geophysical model and determining a model loss function between the current and predicted geophysical models. The method still further includes updating the current geophysical model based on an inversion using the data loss and model loss functions.

    DISTRIBUTED FIBER-OPTIC TELEMETRY FOR DATA TRANSMISSION AND REAL-TIME LOCATION OF DOWNHOLE AUTONOMOUS SENSING DEVICES

    公开(公告)号:US20250020057A1

    公开(公告)日:2025-01-16

    申请号:US18263096

    申请日:2022-08-12

    Abstract: A system and method for using a Distributed Acoustic Sensor (DAS) system to receive signals transmitted from remote autonomous sensors and to locate the autonomous sensors are disclosed. The method includes installing a DAS system in a borehole consisting of at least one fiber-optic cable connected to at least one corresponding interrogator, deploying at least one autonomous sensor and conducting at least one measurement. The methods also include encoding the at least one measurement in at least one encoded acoustic signal, transmitting the at least one encoded acoustic signal to the at least one fiber-optic cable, and detecting the at least one encoded acoustic signal with the DAS system. Furthermore, the methods include recording the at least one encoded acoustic signal received by the DAS system at a surface location and processing the at least one encoded acoustic signal with a processing unit to decode and obtain the at least one measurement.

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