公开(公告)号：AU2024223999B2

公开(公告)日：2025-04-10

申请号：AU2024223999

申请日：2024-09-30

Applicant: CONOCOPHILLIPS COMPANY

Inventor： JIN GE ,  KRUEGER KYLE R ,  ROY BAISHALI

IPC: E21B47/06 ,  E21B43/26 ,  E21B47/00 ,  E21B49/00

Abstract: A method of assessing cross-well interference and/or optimizing hydrocarbon production from a reservoir by obtaining low frequency DAS and DTS data and pressure data from a monitor well, when both the monitor and production well are shut-in, and then variably opening the production well for production, and detecting the temperature and pressure fluctuations that indication cross-well interference, and localizing the interference along the well length based on the low frequency DAS data. This information can be used to optimize well placement, completion plans, fracturing plans, and ultimately optimize production from a given reservoir

公开(公告)号：AU2019243434B2

公开(公告)日：2024-09-19

申请号：AU2019243434

申请日：2019-03-26

Applicant: CONOCOPHILLIPS COMPANY

Inventor： JIN GE ,  KRUEGER KYLE R ,  ROY BAISHALI

IPC: E21B47/06 ,  E21B43/26 ,  E21B47/00 ,  E21B49/00

Abstract: A method of assessing cross-well interference and/or optimizing hydrocarbon production from a reservoir by obtaining low frequency DAS and DTS data and pressure data from a monitor well, when both the monitor and production well are shut-in, and then variably opening the production well for production, and detecting the temperature and pressure fluctuations that indication cross-well interference, and localizing the interference along the well length based on the low frequency DAS data. This information can be used to optimize well placement, completion plans, fracturing plans, and ultimately optimize production from a given reservoir

公开(公告)号：AU2017230729B2

公开(公告)日：2022-09-08

申请号：AU2017230729

申请日：2017-03-09

Applicant: CONOCOPHILLIPS COMPANY

Inventor： KRUEGER KYLE R ,  JIN GE ,  MOSHER CHARLES C ,  SWAN HERBERT W ,  ROY BAISHALI

IPC: G01V1/28 ,  G01V1/30 ,  G01V1/40 ,  G01V1/48 ,  G06T17/05

Abstract: A workflow for optimizing production of a hydrocarbon reservoir and optimizing a hydraulic fracturing model of a hydrocarbon reservoir using techniques for improving signal-to-noise ratio and decreasing interferences for Low-Frequency Distributed Acoustic Sensing is described. Acoustic sensor data is collected from optical fiber, where said data is processed to optimize production parameters and well production.