Method, system and apparatus for intelligent management of oil and gas platform surface equipment
First Claim
1. A computer implemented method for predictive analysis of multiple and varying topside equipment or topside systems used on one or more oil and gas field platforms located offshore or onshore comprising the steps of:
- inputting to a data aggregator on a computer system real-time data streams from one or more sensors sensing topside parameters of interest on the multiple and varying topside equipment located on such one or more platforms, such topside equipment containing one or more sensors for monitoring in real-time the performance of such topside equipment based on such topside parameters of interest;
time-stamping such sensor data;
aggregating such sensor data into a common data format;
transmitting the aggregated, formatted sensor data to a computerized data analysis engine;
inputting into the data analysis engine multiple data streams containing information relevant to the topside operating equipment or topside systems;
providing a neural network within the data analysis engine;
generating self organizing maps within the data analysis engine;
using the neural network engine to transform the multiple and varying topside equipment data streams from a monitoring state, function or use to a predictive state, function or use;
generating status indicators in real-time relevant to the operation of the topside equipment or topside systems;
transmitting such status indicators to one or more end users over a network; and
providing a computer-based dashboard software-based display system for displaying to such end user(s) such transmitted data.
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Abstract
A method, system, apparatus (and related computer program) for intelligent management of oil and gas offshore and onshore platform surface equipment over a computer network is disclosed. The system utilizes a data aggregator for gathering real-time data streams from surface equipment located on such platform(s), such surface equipment containing one or more sensors for monitoring in real time the performance of equipment operational parameters of interest. The data analysis engine is in network communication with the data aggregator, and comprises a trained neural network capable of generating self organizing maps, and creating predictive operational parameters regarding such surface equipment. An interface is provided for inputting into the neural network various data including, for example, the published performance operational parameters for such equipment. A network user interface is also provided for transmitting such predictive operational input to one or more end user terminals equipped with end user dashboard display software.
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Citations
17 Claims
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1. A computer implemented method for predictive analysis of multiple and varying topside equipment or topside systems used on one or more oil and gas field platforms located offshore or onshore comprising the steps of:
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inputting to a data aggregator on a computer system real-time data streams from one or more sensors sensing topside parameters of interest on the multiple and varying topside equipment located on such one or more platforms, such topside equipment containing one or more sensors for monitoring in real-time the performance of such topside equipment based on such topside parameters of interest; time-stamping such sensor data; aggregating such sensor data into a common data format; transmitting the aggregated, formatted sensor data to a computerized data analysis engine; inputting into the data analysis engine multiple data streams containing information relevant to the topside operating equipment or topside systems; providing a neural network within the data analysis engine; generating self organizing maps within the data analysis engine; using the neural network engine to transform the multiple and varying topside equipment data streams from a monitoring state, function or use to a predictive state, function or use; generating status indicators in real-time relevant to the operation of the topside equipment or topside systems; transmitting such status indicators to one or more end users over a network; and providing a computer-based dashboard software-based display system for displaying to such end user(s) such transmitted data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A computer implemented system for remotely predicting the performance of multiple and varying topside equipment and topside systems used on one or more oil and gas field platforms located offshore or onshore comprising:
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a. a processor and memory; b. a data aggregator embodied on one or more computer-readable medium for gathering real-time data streams from the multiple and varying topside equipment located on such one or more platforms, such topside equipment containing one or more sensors for monitoring in real time the performance of operational topside parameters of interest in such topside equipment or topside systems; c. a data analysis engine embodied on the one or more computer-readable medium in network communication with the data aggregator and capable of receiving data streams from the data aggregator, the data analysis engine comprising a neural network capable of generating self organizing maps, and creating predictive operational indicators regarding such topside equipment and systems; d. an interface embodied on the one or more computer-readable medium for inputting into the neural network multiple data streams containing information relevant to the topside operating equipment or topside systems; e. a network user interface embodied on the one or more computer-readable medium for transmitting such predictive operational indicators from the data analysis engine to one or more end user computer terminals equipped with end user dashboard display software, and; f. an interface embodied on the one or more computer-readable medium for inputting sensor data to the data aggregator. - View Dependent Claims (15, 16)
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17. A computer program product embodied on one or more non-transitory computer-readable medium, said computer program product adapted to be executed to implement a method for the training of a neural network used to generate predictive operational parameters for multiple and varying topside equipment and topside systems used on oil and gas platforms, said method comprising:
- providing a computer implemented system, wherein the computer implemented system comprises distinct software modules embodied on the one or more computer-readable medium, and wherein the distinct software modules comprise a data input module embodied on the one or more computer-readable medium to provide instruction to a user to identify and parse multiple digital data streams containing information relevant to the operating equipment or systems, a data formatting module embodied on the one or more computer-readable medium to correlate, time synchronize and standardize the digital data streams and a data loading module embodied on the one or more computer-readable medium to identify and transmit the data streams as training data to the neural network.
Specification