公开(公告)号：US20240018854A1

公开(公告)日：2024-01-18

申请号：US18348800

申请日：2023-07-07

Applicant: ExxonMobil Technology and Engineering Company

Inventor： Shreerang S. CHHATRE ,  Jai MANIK ,  Amr S. EL-BAKRY ,  Yufen SHAO ,  Ti ZHANG

IPC: E21B43/12

CPC classification number: E21B43/122 ,  E21B2200/20

Abstract: A methodology using an interwell connectivity model for hydrocarbon management is disclosed. The interwell connectivity model may include interwell connectivity metrics indicative of fluid interconnectivity amongst pairs of wells and may be used as predictive or prescriptive for enhanced oil recovery (EOR). As predictive, the interwell connectivity model may be used to determine an effect of gas injection into the reservoir on one or more aspects of EOR, such as reservoir pressure or production rates. As prescriptive, the interwell connectivity model may be used to improve or optimize various stages of EOR, such as during drilling or construction of the extraction site, during primary depletion, or during one or more huff-and-puff cycles.

公开(公告)号：US20240192646A1

公开(公告)日：2024-06-13

申请号：US18555098

申请日：2022-02-03

Applicant: ExxonMobil Technology and Engineering Company

Inventor： Sriram DORAISWAMY ,  Jai MANIK ,  Fahim FOROUZANFAR ,  Kyle GUICE ,  Xiaohui WU

IPC: G05B13/02

CPC classification number: G05B13/0265

Abstract: Methods for analyzing subsurface process data in order to perform one or more subsurface operations in a subsurface are provided. Generating subsurface models is typically a long and laborious process in which subsurface process data is analyzed in order to generate the subsurface models. In contrast, work in generating the subsurface models may be front-loaded by first using a physics simulator in order to generate a training set of subsurface forward models, and then performing machine learning using the training set to generate one or more proxy models, such as a forward proxy model and an inverse proxy model. The machine learning may be constrained using physics-based rules to better converge on the proxy models. In this way, the already-trained inverse proxy model may input the subsurface process data in order to generate potential inverse models, which may then be used to perform subsurface operations in the subsurface.

公开(公告)号：US20240018856A1

公开(公告)日：2024-01-18

申请号：US18348798

申请日：2023-07-07

Applicant: ExxonMobil Technology and Engineering Company

Inventor： Shreerang S. CHHATRE ,  Jai MANIK ,  Kyle B. GUICE ,  Amr S. EL-BAKRY ,  Jizhou LI

IPC: E21B43/16 ,  E21B43/17

CPC classification number: E21B43/166 ,  E21B43/17

Abstract: A methodology using an interwell connectivity model for hydrocarbon management is disclosed. The interwell connectivity model may include interwell connectivity metrics indicative of fluid interconnectivity amongst pairs of wells and may be used as predictive or prescriptive for enhanced oil recovery (EOR). As predictive, the interwell connectivity model may be used to determine an effect of gas injection into the reservoir on one or more aspects of EOR, such as reservoir pressure or production rates. As prescriptive, the interwell connectivity model may be used to improve or optimize various stages of EOR, such as during drilling or construction of the extraction site, during primary depletion, or during one or more huff-and-puff cycles.