公开(公告)号：US20220090490A1

公开(公告)日：2022-03-24

申请号：US17540305

申请日：2021-12-02

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Ge JIN ,  Kyle R KRUEGER ,  Baishali ROY

IPC: E21B47/107 ,  E21B47/06 ,  E21B47/07

Abstract: Methods and systems for 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：US20210238972A1

公开(公告)日：2021-08-05

申请号：US17236706

申请日：2021-04-21

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Ge JIN ,  Kyle FRIEHAUF ,  Baishali ROY

IPC: E21B43/16 ,  E21B47/07 ,  G01K1/02 ,  E21B47/107 ,  G01F1/66 ,  E21B41/00

Abstract: A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from the well and other asset wells.

公开(公告)号：US20190338621A1

公开(公告)日：2019-11-07

申请号：US16401620

申请日：2019-05-02

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Ge JIN ,  Kyle FRIEHAUF ,  Baishali ROY

IPC: E21B41/00 ,  E21B47/06 ,  E21B47/10 ,  G01K1/02 ,  G01F1/66

Abstract: A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in said well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from said well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from said well and other asset wells.

公开(公告)号：US20180364381A1

公开(公告)日：2018-12-20

申请号：US15972882

申请日：2018-05-07

Applicant: CONOCOPHILLIPS COMPANY

Inventor： Kevin T. RATERMAN ,  Helen E. FARRELL ,  Kyle FRIEHAUF ,  Raymond R. REID, JR. ,  Ge JIN ,  Baishali ROY ,  Dana M. JURICK ,  Seth BUSETTI

IPC: G01V1/30 ,  G01V1/42 ,  G01V1/28 ,  G01V9/00 ,  E21B49/00 ,  E21B47/00 ,  E21B43/26 ,  E21B41/00 ,  E21B49/02

Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.