Alvin Stanley Cullick - Austin TX, US Keshav Narayanan - Austin TX, US Glenn E. Wilson - Houston TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06G 7/48
US Classification:
703 6, 166 60, 166380, 166302, 166300, 166263
Abstract:
A system and method may be configured to support the evaluation of the economic impact of uncertainties associated with the planning of a petroleum production project, e. g. , uncertainties associated with decisions having multiple possible outcomes and uncertainties associated with uncontrollable parameters such as rock properties, oil prices, etc. The system and method involve receiving user input characterizing the uncertainty of planning variables and performing an iterative simulation that computes the economic return for various possible instantiations of the set of planning variables based on the uncertainty characterization. The system and method may (a) utilize and integrate highly rigorous physical reservoir, well, production flow, and economic models, and (b) provide a mechanism for specifying constraints on the planning variables. Furthermore, the system and method may provide a case manager process for managing multiple cases and associated “experimental runs” on the cases.
Optimization Of Decisions Regarding Multiple Assets In The Presence Of Various Underlying Uncertainties
Keshav Narayanan - Houston TX, US David Heath - Highlands Ranch CO, US Alvin Stanley Cullick - Houston TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06Q 10/00
US Classification:
705 711, 705 28, 705 36 R, 703 2, 703 9, 703 10
Abstract:
A client-server based system for building and executing flows (i. e. , interconnected systems of algorithms). The client allows a user to build a flow specification and send the flow specification to the server. The server assembles the flow from the flow spec and executes the flow. A decision flow builder allows the user to build a flow targeted for the analysis/optimization of decisions (modeled by decision variables) regarding a plurality of assets in view of various underlying uncertainties (modeled by uncertainty variables). The user may specify a global objective (as a function of asset level statistics) as well and one or more constraints for the optimization. The flow may account for inter-asset correlations and inter-asset dependencies between uncertainty variables, and, inter-asset constraints between decision variables.
Analysis Of Multiple Assets In View Of Functionally-Related Uncertainties
Keshav Narayanan - Houston TX, US David E. Heath - Highlands Ranch CO, US Alvin Stanley Cullick - Houston TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06Q 10/00
US Classification:
705 711, 703 2, 703 10, 705 28, 705 36 R
Abstract:
A client-server based system for building and executing flows (i. e. , interconnected systems of algorithms). The client allows a user to build a flow specification and send the flow specification to the server. The server assembles the flow from the flow spec and executes the flow. A flow may be configured to analyze the impact (e. g. , the financial impact) of a number of uncertainties associated with a plurality of assets. Uncertainty variables are used to characterize the uncertainties associated with the assets. An uncertainty variable associated with one asset may be functionally dependent on an uncertainty variable associated with another asset.
Analysis Of Multiple Assets In View Of Uncertainties
Keshav Narayanan - Houston TX, US David E. Heath - Highlands Ranch CO, US Alvin Stanley Cullick - Houston TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06Q 10/04 G06F 9/455
US Classification:
705 711, 705 728, 703 2, 703 9, 703 10
Abstract:
A client-server based system for building and executing flows (i. e. , interconnected systems of algorithms). The client allows a user to build a flow specification and send the flow specification to the server. The server assembles the flow from the flow spec and executes the flow. A flow may be configured to analyze the impact (e. g. , the financial impact) of a number of uncertainties associated with a plurality of assets. Uncertainty variables are used to characterize the uncertainties associated with the assets. An uncertainty variable associated with one asset may be functionally dependent on an uncertainty variable associated with another asset.
Stochastically Generating Facility And Well Schedules
Alvin Cullick - Austin TX, US Keshav Narayanan - Austin TX, US
International Classification:
G06F017/60
US Classification:
705/008000
Abstract:
A system comprising a memory and a processor. The memory is configured to store data and program instructions for a processing method. The processor is configured to read the program instructions from the memory. In response to execution of the program instructions, the processor is operable to: (a) instantiate one or more well process times associated with a first schedule; (b) instantiate a facility establishment time associated with first schedule; (c) instantiate zero or more dependency delays associated with the first schedule; (d) resolve event dates in the first schedule based on resolved event dates in one or more other schedules, the one or more instantiated well process times, the instantiated facility establishment time, and the instantiated dependency delays; (e) compute costs for facility establishment and well processes (e.g., well drilling and well completion) using the resolved event dates.
Alvin Stanley Cullick - Austin TX, US Keshav Narayanan - Austin TX, US Glenn E. Wilson - Houston TX, US
International Classification:
G06G 7/48 G06G 7/57
US Classification:
703 10, 703 6
Abstract:
A system and method may be configured to support the evaluation of the economic impact of uncertainties associated with the planning of a petroleum production project, e.g., uncertainties associated with decisions having multiple possible outcomes and uncertainties associated with uncontrollable parameters such as rock properties, oil prices, etc. The system and method involve receiving user input characterizing the uncertainty of planning variables and performing an iterative simulation that computes the economic return for various possible instantiations of the set of planning variables based on the uncertainty characterization. The system and method may (a) utilize and integrate highly rigorous physical reservoir, well, production flow, and economic models, and (b) provide a mechanism for specifying constraints on the planning variables. Furthermore, the system and method may provide a case manager process for managing multiple cases and associated “experimental runs” on the cases.
The University of Texas at Austin 1996 - 1999
Master of Science, Masters, Petroleum Engineering
Indian Institute of Technology, Madras 1992 - 1996
Bachelors, Bachelor of Technology, Chemical Engineering