公开(公告)号：US20230222773A1

公开(公告)日：2023-07-13

申请号：US17999994

申请日：2021-06-22

Applicant: SHELL OIL COMPANY

Inventor： Pedram ZARIAN ,  Oriol FALIVENE ALDEA

IPC: G06V10/774 ,  G01V99/00 ,  G06V10/82

CPC classification number: G06V10/774 ,  G01V99/005 ,  G06V10/82

Abstract: A method for predicting an occurrence of a geological feature in a borehole image log using a backpropagation-enabled process trained by inputting a set of training images (12) of a borehole image log, iteratively computing a prediction of the probability of occurrence of the geological feature for the set of training images and adjusting the parameters in the backpropagation-enabled model until the model is trained. The trained backpropagation-enabled model is used to predict the occurrence of the geological features in non-training borehole image logs. The set of training images may include non- geological features and/or simulated data, including augmented images (22) and synthetic images (24).

公开(公告)号：US20230145880A1

公开(公告)日：2023-05-11

申请号：US17907751

申请日：2021-03-23

Applicant: SHELL OIL COMPANY

Inventor： John SOLUM ,  Oriol FALIVENE ALDEA ,  Pedram ZARIAN ,  David Lawrence KIRSCHNER ,  Neal Christian AUCHTER ,  Antonino CILONA

IPC: G06T7/10 ,  G06V20/70

CPC classification number: G06T7/10 ,  G06V20/70

Abstract: A method for predicting an occurrence of a geological feature in a geologic core image uses a backpropagation-enabled segmentation process trained by inputting multiple training geologic core images and a set of associated labels of geological features, iteratively computing a prediction of the probability of occurrence of the geological feature for the training images and adjusting the parameters in the backpropagation-enabled segmentation model until the model is trained. The trained backpropagation-enabled segmentation model is used to predict the occurrence of the geological features in non-training geologic core images. Geological features to be predicted with this method include structural features (such as veins, fractures, bedding contacts, etc.), and stratigraphic features (such as lithologic types, sedimentary structures, sedimentary facies, etc.).

公开(公告)号：US20180275312A1

公开(公告)日：2018-09-27

申请号：US15978943

申请日：2018-05-14

Applicant: Shell Oil Company

Inventor： Oriol FALIVENE ALDEA ,  Alessandro FRASCATI ,  Michele BOLLA PITTALUGA ,  Russell David POTTER ,  Thomas Patrick Etienne KRAYENBUEHL

IPC: G01V99/00 ,  G01V1/30 ,  G01V1/28 ,  G06F17/50

CPC classification number: G01V99/005 ,  G01V1/282 ,  G01V1/308 ,  G01V2210/661 ,  G06F17/5009

Abstract: A distribution of sand sediment class in a subsurface of the Earth is identified. Three-dimensional stratigraphic images of sediment distribution in a subsurface of the Earth are constructed, including at least two depositional domains, by simulating sediment transport and deposition over a selected time interval of sediments originating from one or more clastic sediment input sources. The simulation uses at least two equilibrium surfaces bounding the at least two depositional domains and at least two sediment classes, and updates the equilibrium surfaces in a sequence of timesteps, by accounting for sediment feed from the one or more clastic sediment input sources, erosion and deposition in accordance with mass-balance equality constraints. The images are used to identify a distribution of sand sediment class in the subsurface of the Earth suitable for acquiring hydrocarbons or fresh water, or for storing gas or liquids.