公开(公告)号：US20210215841A1

公开(公告)日：2021-07-15

申请号：US17247501

申请日：2020-12-14

Applicant: ExxonMobil Upstream Research Company

Inventor： Mehdi Aharchaou ,  Anatoly Baumstein ,  Junzhe Sun ,  Rongrong Lu ,  Erik Neumann

IPC: G01V1/30 ,  G06N3/08 ,  G06N3/04 ,  G01V1/38 ,  G01V1/34 ,  E21B49/00 ,  E21B47/002

Abstract: A methodology for extending bandwidth of geophysical data is disclosed. Geophysical data, obtained via a towed streamer, may have significant noise in a certain band (such as less than 4 Hz), rendering the data in the certain band unreliable. To remedy this, geophysical data, from a band that is reliable, may be extended to the certain band, resulting in bandwidth extension. One manner of bandwidth extension comprises using machine learning to generate a machine learning model. Specifically, because bandwidth may be viewed as a sequence, machine learning configured to identify sequences, such as recurrent neural networks, may be used to generate the machine learning model. In particular, machine learning may use a training dataset acquired via ocean bottom nodes in order to generate the machine learning model. After which, the machine learning model may be used to extend the bandwidth of a test dataset acquired via a towed streamer.

公开(公告)号：US20210318458A1

公开(公告)日：2021-10-14

申请号：US17247598

申请日：2020-12-17

Applicant: ExxonMobil Upstream Research Company

Inventor： Anatoly I. Baumstein ,  Mehdi Aharchaou ,  Rongrong Lu ,  Junzhe Sun

IPC: G01V1/36 ,  G01V1/38 ,  G06N3/08

Abstract: A method for enhancing properties of geophysical data with deep learning networks. Geophysical data may be acquired by positioning a source of sound waves at a chosen shot location, and measuring back-scattered energy generated by the source using receivers placed at selected locations. For example, seismic data may be collected using towed streamer acquisition in order to derive subsurface properties or to form images of the subsurface. However, towed streamer data may be deficient in one or more properties (e.g., at low frequencies). To compensate for the deficiencies, another survey (such as an Ocean Bottom Nodes (OBN) survey) may be sparsely acquired in order to train a neural network. The trained neural network may then be used to compensate for the towed streamer deficient properties, such as by using the trained neural network to extend the towed streamer data to the low frequencies.