Landmark Graphics Corporation

Halliburton Energy Services, Inc.

Alvin Stanley Cullick

Mohamed Yousef Soliman

Gustavo Carvajal

Keshav Narayanan

Hatem N Nasr

Amit Kumar

Priyesh Ranjan

Sheldon Burt Gorell

Luigi Saputelli

Hasnain A Khan

Karelis Alejandra Urrutia

Jose Antonio Rodriguez

Giuseppe Moricca

David Heath

Marko Maucec

Shahin Abasov

Miguel Villamizar

Maiquel Manuel Querales

Rama Krishna Vellanki

Glenn E Wilson

Dan Colvin

Robert F Shelley

William Douglas Johnson

Ron Mossbarger

Feng Wang

Carlos M LopezGarcia

Douglas W Johnson

Lloyd E East

Joydeep Dhar

Jose Rodriguez

Gustavo A Carvajal

Maiquel Querales

Rama K Vellanki

Ranjan Priyesh

Burt Gorell Sheldon

David E Heath

Nurul F Md Adnan

Dhruv Vashisth

Carlos M Lopezgarcia

Systems and methods for updating posterior geological models by integrating various reservoir data to support dynamic-quantitative data-inversion, stochastic-uncertainty-management and smart reservoir-management.

Systems and methods for the quantitative estimate of production-forecast uncertainty

Systems and methods for subsurface secondary and/or tertiary oil recovery optimization based on either a short term, medium term or long term optimization analysis of selected zones, wells, patterns/clusters and/or fields.

Systems and methods for subsurface oil recovery optimization

Systems and methods for monitoring, diagnosing and optimizing operation of a gas lift (GL) system, at least some of which include a method that includes collecting measured data representative of the GL system's state, storing the measured data, comparing the measured data to a well model's calculated data for the well and identifying likely conditions of the GL system based on mismatches between the measured data and the calculated data. The method further includes updating the model to reflect the likely conditions and selected corrections of the likely conditions, generating GL system performance curves using the updated model and presenting to a user actions recommended to achieve a GL system performance consistent with a GL system operating point on at least one of the GL system performance curves.

Monitoring, diagnosing and optimizing gas lift operations by presenting one or more actions recommended to achieve a GL system performance

Predicting future hydrocarbon production. At least some of the illustrative embodiments are methods including: reading data regarding hydrocarbon production from a hydrocarbon producing field; producing at least one value indicative of future hydrocarbon production based on a data model and the data regarding hydrocarbon production; displaying, on a display device of a computer system, an indication of historic data regarding hydrocarbon production; and displaying, on the display device, an indication of the at least one value indicative of future hydrocarbon production.

Method and system of predicting future hydrocarbon production

Systems and methods for automatically and optimally planning multiple well locations within a reservoir simulator. The systems and methods use dynamic production criteria to create and optimize well target completion intervals and the associated well geometries for new wells dynamically, and directly within a reservoir simulator.

Systems and methods for planning well locations with dynamic production criteria

Selecting hydrocarbon wells for well testing. The selecting may include identifying hydrocarbon wells whose last well test took place prior to a predetermined date; identifying hydrocarbon wells with a parameter that exceeds a predetermined threshold; and selecting a predetermined number of hydrocarbon wells from the wells identified.

Method and system of selecting hydrocarbon wells for well testing

The present disclosure describes systems and methods for monitoring, diagnosing and optimizing operation of an electric submersible pump (ESP). At least some illustrative embodiments include a method that includes collecting measured data representative of a state of an ESP within a well or of well conditions and storing the measured data, matching a nodal analysis model of the well to the well by matching one or more modeled values to corresponding measured data, and identifying one or more likely conditions of the ESP based at least in part on data generated by a matched model. The method further includes updating the matched model to reflect a selected correction of one of the likely conditions identified, generating ESP performance curves using the updated model, and presenting to a user an action recommended to achieve an ESP performance consistent with an ESP operating point selected from one of the ESP performance curves.

Monitoring, diagnosing and optimizing electric submersible pump operations

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.

Systems and methods for dynamically developing wellbore plans with a reservoir simulator

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.

Decision management system and method

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.

Methods, systems, and computer readable media for fast updating of oil and gas field production models with physical and proxy simulators

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 functionally-related uncertainties

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Houston, TX, United States of America

Alvin Stanley Cullick