Alvin S. Cullick - Dallas TX Sriram Vasantharajan - Plano TX Mark W. Dobin - Coppell TX
Assignee:
Mobil Oil Corporation - Fairfax VA
International Classification:
G06F 1710
US Classification:
703 10, 703 2, 702 11
Abstract:
There is disclosed herein a systematic, computationally-efficient, two-stage method for determining well locations in a 3D reservoir model while satisfying various constraints including: minimum interwell spacing, maximum well length, angular limits for deviated completions, and minimum distance from reservoir and fluid boundaries. In the first stage, the wells are placed assuming that the wells can only be vertical. In the second stage, these vertical wells are examined for optimized horizontal and deviated completions. This solution is expedient, yet systematic, and it provides a good first-pass set of well locations and configurations. The first stage solution formulates the well placement problem as a binary integer programming (BIP) problem which uses a âset-packingâ approach that exploits the problem structure, strengthens the optimization formulation, and reduces the problem size. Commercial software packages are readily available for solving BIP problems. The second stage sequentially considers the selected vertical completions to determine well trajectories that connect maximum reservoir pay values while honoring configuration constraints including: completion spacing constraints, angular deviation constraints, and maximum length constraints.
Stochastically Generating Facility And Well Schedules
Alvin Stanley Cullick - Austin TX, US Keshav Narayanan - Austin TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06F 7/60 G06F 17/10 G06F 9/46
US Classification:
703 10, 703 2, 705 8
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.
Method And System For Scenario And Case Decision Management
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.
Systems And Methods For Dynamically Developing Wellbore Plans With A Reservoir Simulator
Shahin Abasov - Houston TX, US Alvin Stanley Cullick - Houston TX, US Ron Mossbarger - Houston TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06G 7/48
US Classification:
703 10
Abstract:
Systems and methods for dynamically developing a wellbore plan with a reservoir simulator. The systems and methods develop a plan for multiple wellbores with a reservoir simulator based on actual and potential reservoir performance.
Methods, Systems, And Computer-Readable Media For Real-Time Oil And Gas Field Production Optimization Using A Proxy Simulator
Alvin Stanley Cullick - Houston TX, US William Douglas Johnson - Austin TX, US
Assignee:
Landmark Graphics Corporation - Houston TX
International Classification:
G06G 7/48 G06G 7/50 G01N 15/08
US Classification:
703 10, 703 9, 702 12, 702 13
Abstract:
Methods, systems, and computer readable media are provided for real-time oil and gas field production optimization using a proxy simulator. A base model of a reservoir, well, pipeline network, or processing system is established in one or more physical simulators. A decision management system is used to define control parameters, such as valve settings, for matching with observed data. A proxy model is used to fit the control parameters to outputs of the physical simulators, determine sensitivities of the control parameters, and compute correlations between the control parameters and output data from the simulators. Control parameters for which the sensitivities are below a threshold are eliminated. The decision management system validates control parameters which are output from the proxy model in the simulators. The proxy model may be used for predicting future control settings for the control parameters.
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.
Methods, Systems, And Computer Readable Media For Fast Updating Of Oil And Gas Field Production Models With Physical And Proxy Simulators
Methods, systems, and computer readable media are provided for fast updating of oil and gas field production optimization using physical and proxy simulators. A base model of a reservoir, well, or a pipeline network is established in one or more physical simulators. A decision management system is used to define uncertain parameters for matching with observed data. A proxy model is used to fit the uncertain parameters to outputs of the physical simulators, determine sensitivities of the uncertain parameters, and compute correlations between the uncertain parameters and output data from the physical simulators. Parameters for which the sensitivities are below a threshold are eliminated. The decision management system validates parameters which are output from the proxy model in the simulators. The validated parameters are used to make production decisions.