US 12,632,070 B2Granted

System for controlling the flow rate of a platform

AssigneePetroleo Brasileiro S.A. - Petrobras

InventorJose Andersands Flauzino Chaves

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Abstract

The present invention relates to a system for controlling the flow rate of a platform comprising at least one controller, wherein the at least one controller uses Fuzzy-PID logic; at least one processor, wherein the at least one processor includes at least one artificial neural network model; wherein the at least one artificial neural network model has at least two inputs, wherein the at least two inputs comprise choke valve opening percentage data of the at least one well and head pressure data upstream of the choke valve of the at least one well; and wherein the at least one artificial neural network model has an output, wherein the at least one output is the gas flow rate or the oil flow rate produced by the platform; wherein the controller feeds the at least one artificial neural network model with the choke valve opening percentage data of the at least one well and head pressure data upstream of the choke valve of the at least one well.

Claims19

Dependent claims

A system for controlling a flow rate of a platform, wherein the system comprises:

at least one fuzzy logic PID (proportional, integral, derivative) controller comprising:
a gas flow rate artificial neural network model having two inputs comprising:
a choke valve opening percentage data of at least one well;
and
a head pressure data, wherein the head pressure data is measured upstream of a choke valve of the at least one well;
and
an oil flow rate artificial neural network model having two inputs comprising:
the choke valve opening percentage data of the at least one well;
and
the head pressure data, wherein the head pressure data is measured upstream of the choke valve of the at least one well;
and
wherein the gas flow rate artificial neural network model has at least one output comprising a gas flow rate;
wherein the oil flow rate artificial neural network model has at least one output comprising or an oil flow rate produced by the platform;
and
wherein the at least one fuzzy logic PID controller feeds the gas flow rate and oil flow rate artificial neural network models with the choke valve opening percentage data of the at least one well and the head pressure data upstream of the choke valve of the at least one well.

12 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/333,965Filed 13 Jun 2023
Priority: BR 10 2022 011697 014 Jun 2022
Published: US 2024/0053773 A115 Feb 2024
Granted: 19 May 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G05D 7/0623
Specially adapted for fluid materials: characterised by the set value given to the control element
E21B 44/00
Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which
G05B 13/0285
The criterion being a learning criterion: using neural networks and fuzzy logic
G05D 7/0641
By action on throttling means: using a plurality of throttling means