公开(公告)号：US20240393489A1

公开(公告)日：2024-11-28

申请号：US18696204

申请日：2022-09-16

Applicant: ExxonMobil Technology and Engineering Company

Inventor： Victoria Som De Cerff-Edmonds ,  Huseyin Denli ,  Cody MacDonald ,  Jaquelyn Daves

IPC: G01V1/34 ,  G01V1/30 ,  G06N20/00

Abstract: A method and system for seismic anomaly detection is disclosed. Hydrocarbon prospecting relies on accurate modeling of subsurface geologic structures and detecting fluid presence in the geologic structures. For example, a seismic survey is gathered and processed to create a mapping of the subsurface region. The processed data is then examined, such as by comparing pre- or partially-stacked seismic images, in order to identify subsurface structures that may contain hydrocarbons. Instead of relying on engineered image attributes, which may be unreliable and biased, to identify anomalous features, an unsupervised machine learning framework is used to learn the relationships among partially-stack images or among pre-stack images to detect the anomalous features, and in turn hydrocarbon presence.

公开(公告)号：US11693139B2

公开(公告)日：2023-07-04

申请号：US16685312

申请日：2019-11-15

Applicant: ExxonMobil Technology and Engineering Company

Inventor： Huseyin Denli ,  Dimitar Trenev ,  Cody J. Macdonald ,  Diego Hernandez

IPC: G01V1/28 ,  G01V1/30

CPC classification number: G01V1/282 ,  G01V1/301 ,  G01V2210/514 ,  G01V2210/66

Abstract: A method and apparatus for seismic analysis include obtaining an initial geophysical model and seismic data for a subsurface region; producing a subsurface image of the subsurface region with the seismic data and the geophysical model; generating a map of one or more geologic features of the subsurface region by automatically interpreting the subsurface image; and iteratively updating the geophysical model, subsurface image, and map of geologic features by: building an updated geophysical model based on the geophysical model of a prior iteration constrained by one or more geologic features from the prior iteration; imaging the seismic data with the updated geophysical model to produce an updated subsurface image; and automatically interpreting the updated subsurface image to generate an updated map of geologic features. The method and apparatus may also include post-stack migration, pre-stack time migration, pre-stack depth migration, reverse-time migration, gradient-based tomography, and/or gradient-based inversion methods.

公开(公告)号：US20230375735A1

公开(公告)日：2023-11-23

申请号：US18027266

申请日：2021-09-13

Applicant: EXXONMOBIL TECHNOLOGY AND ENGINEERING COMPANY

Inventor： Kuang-Hung Liu ,  Huseyin Denli ,  Mary Johns ,  Jacquelyn Daves

IPC: G01V1/30 ,  G01V1/28

CPC classification number: G01V1/301 ,  G01V1/282

Abstract: A computer-implemented method for detecting geological elements or fluid in a subsurface from seismic images is disclosed. Seismic data may be analyzed to identify one or both of fluid or geologic elements in the subsurface. As one example, the analysis may include unsupervised learning, such as variational machine learning, in order to learn relationships between different sets of seismic data. For example, variational machine learning may be used to learn relationships among partially-stack images or among pre-stack images in order to detect hydrocarbon presence. In this way, an unsupervised learning framework may be used for learning a Direct Hydrocarbon Indicator (DHI) from seismic images by learning relationships among partially-stack or pre-stack images.