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Research Disclosure for a Computational System for Automatic Model Calibration

IP.com Disclosure Number: IPCOM000244234D
Publication Date: 2015-Nov-24
Document File: 6 page(s) / 628K

Publishing Venue

The IP.com Prior Art Database

Abstract

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This is the abbreviated version, containing approximately 18% of the total text.

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Research Disclosure

In this document, we describe a computational system for automatic model calibration, rate allocation, virtual metering, and operational optimization of multiple hydrocarbon-producing wells at a production facility. Specific embodiments include, but are not limited to, the following:

(1) A computational system for automatic model calibration for hydrocarbon-producing wells at a production facility, the system comprising:

a. A forward model for the production facility, wherein multiphase flow rates, temperatures, and pressures may be computed anywhere within the facility;

b. A set of unknown parameters that must be set in order to run the forward model, which may include water cuts, gas-to-oil ratios, and productivity indices for each well;

c. A set of measurements from the production facility, which may include pressures, temperatures, and multiphase flow rates anywhere within the facility;

d. An inverse algorithm which estimates a set of parameters as in (b) for which the forward model as in (a) "optimally" matches the available measurements in (c).

(2) A computational system for automatic rate allocation for hydrocarbon-producing wells at an operating facility, the system comprising:

a. A model calibration system as described in (1);

b. Running the calibrated forward model at some regular time step (every hour, for example);

c. Summing the predicted multiphase production rates over every intermediate time step for each well to get, for example, daily production volumes for each well.

(3) A computational system for virtual metering of hydrocarbon-producing wells at an operating facility, the system comprising:


a. A model calibration system as described in (1);

b. Running the calibrated forward model at every time step of interest (every minute, for

example);

c. Reporting the pressures, temperatures, etc. at every point of interest (bottomhole, wellhead, etc.) as the "virtual meter readings".

(4) A computational system for optimizing hydrocarbon-producing wells at an operating facility, the system comprising:

a. A model calibration system as described in (1);

b. Running the calibrated forward model for different sets of control parameters of interest (choke settings, gas lift injection rates, etc.);

c. Reporting the set of control parameters that is predicted to maximize some operating metric, for example to maximize the amount of oil produced per day;

d. Further optimizing the metric used in part (c) accounting for any constraints (gas- and water-handling constraints, for example) present at the facility.


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Advantages of the system described herein over traditional solutions include:

(1) Our solution is physically consistent with all available surveillance data.

(2) Our solution is robust to missing or unreliable sensor data.

(3) Our solution can estimate changing production conditions between tests, but does not allow for unrealistically sharp or sudden changes.

(4) Our solution provides "virtual...