公开(公告)号：US20230160726A1

公开(公告)日：2023-05-25

申请号：US17983699

申请日：2022-11-09

Applicant: ConocoPhillips Company

Inventor： Upendra K. Tiwari ,  Baishali Roy ,  Nan Ma ,  Ge Jin

IPC: G01D5/353 ,  G01F1/661 ,  E21B47/07

CPC classification number: G01D5/35361 ,  E21B47/07 ,  G01F1/661

Abstract: A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing (“DAS”) fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.

公开(公告)号：US20220404515A1

公开(公告)日：2022-12-22

申请号：US17842304

申请日：2022-06-16

Applicant: ConocoPhillips Company

Inventor： Christopher S. Olsen ,  Douglas Hakkarinen ,  Michal Brhlik ,  Upendra K. Tiwari ,  Timothy D. Osborne ,  Nickolas Paladino ,  Mark A. Wardrop ,  David W. Glover ,  Brock Johnson ,  Peter Bormann ,  Charles Ildstad

IPC: G01V1/28 ,  G01V1/30 ,  G06N3/08 ,  G01V1/36

Abstract: Implementations described and claimed herein provide systems and methods for reservoir modeling. In one implementation, an input dataset comprising seismic data is received for a particular subsurface reservoir. Based on the input dataset and utilizing a deep learning computing technique, a plurality of trained reservoir models may be generated based on training data and/or validation information to model the particular subsurface reservoir. From the plurality of trained reservoir models, an optimized reservoir model may be selected based on a comparison of each of the plurality of reservoir models to a dataset of measured subsurface characteristics.