Machine learning and physics fusion modeling on run duration
AssigneeSchlumberger Technology Corporation
InventorsWei Li, Wenrui Li, Yang Zhang, Lihui Meng, Pan Xi, Dawei Xu, Daniel Gemmell
Life of this patent
Estimating the term…
Abstract
Embodiments presented provide for modeling of wireline runs for hydrocarbon recovery operations. In embodiments, a run duration of wireline activities is split into a winch duration and a pass duration, wherein the pass duration is calculated using a machine learning model.
Claims20
A method for estimating a run duration time of a wireline activity, comprising:
- gathering data related to a wellbore;
- gathering data related to a wellbore conveyance;
- separating the run duration into a winch duration time and a logging duration time, wherein the winch duration time is calculated according to an algorithm;
- feeding the data related to the wellbore and wireline tools to be used for scanning a section of the wellbore into a model;
- calculating the logging duration time according to the model;
- and
- calculating the run duration time of the wireline activity based upon the winch duration time and the logging duration time.
An article of manufacture that is configured to store instructions readable by a computer, the instructions including a method for estimating a run duration time of a wireline activity, comprising:
- gathering data related to a wellbore;
- gathering data related to a wellbore conveyance;
- separating the run duration into a winch duration time and a logging duration time, wherein the winch duration time is calculated according to an algorithm;
- feeding the data related to the wellbore and wireline tools to be used for scanning a section of the wellbore into a model;
- calculating the logging duration time according to the model;
- and
- calculating the run duration time of the wireline activity based upon the winch duration time and the logging duration time.
Dependencies are inferred from the claim text.