US 12,291,943 B2
Production logging inversion based on LFDAS/DTS
Ge Jin, Houston, TX (US); Kyle Friehauf, Houston, TX (US); and Baishali Roy, Houston, TX (US)
Assigned to ConocoPhillips Company, Houston, TX (US)
Filed by CONOCOPHILLIPS COMPANY, Houston, TX (US)
Filed on Apr. 7, 2023, as Appl. No. 18/297,326.
Application 17/236,706 is a division of application No. 16/401,620, filed on May 2, 2019, granted, now 11,021,934, issued on Jun. 1, 2021.
Application 18/297,326 is a continuation in part of application No. 17/236,706, filed on Apr. 21, 2021, granted, now 11,649,700.
Claims priority of provisional application 62/665,536, filed on May 2, 2018.
Prior Publication US 2023/0287766 A1, Sep. 14, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. E21B 47/07 (2012.01); E21B 36/00 (2006.01); E21B 41/00 (2006.01); E21B 43/00 (2006.01); E21B 43/16 (2006.01); E21B 47/107 (2012.01); G01F 1/661 (2022.01); G01K 1/02 (2021.01)
CPC E21B 43/00 (2013.01) [E21B 36/005 (2013.01); E21B 41/00 (2013.01); E21B 43/16 (2013.01); E21B 47/07 (2020.05); E21B 47/107 (2020.05); G01F 1/661 (2013.01); G01K 1/026 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method of optimizing oil production, comprising:
a) providing one or more fiber optic cables in a well in an oil reservoir;
b) 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 thermal perturbations;
c) measuring Distributed Temperature Sensing (DTS) data from said well during said time period of constant flow, during said time period of no flow, and during said time period of thermal perturbations;
d) providing an initial model of reservoir flow using said LFDAS data and said DTS data;
e) inverting said LFDAS data and said DTS data using a Markov chain Monte Carlo method to provide a production profile for said well; and
f) using said production profile to optimize said well and future wells in said reservoir and produce hydrocarbons therefrom.