Abstract: A method includes training a proxy model to predict output from a reservoir model of a subterranean volume, receiving data representing an oilfield operation performed at least partially in the subterranean volume, predicting one or more performance indicators for the oilfield operation using the proxy model, and updating the reservoir model based at least in part on the one or more performance indicators predicted in the proxy model.

Abstract: Embodiments of the disclosure provide a rotary transformer (RT) that includes a printed circuit board (PCB) and a set of secondary windings integrated with the PCB. The set of secondary windings includes a plurality traces extending over a first region of the PCB and a second region of the PCB. The plurality of traces are organized in a first positional order in the first region of the PCB. The plurality of traces are organized in a second positional order in the second region of the PCB.

Abstract: A method includes training a proxy model to predict output from a reservoir model of a subterranean volume, receiving data representing an oilfield operation performed at least partially in the subterranean volume, predicting one or more performance indicators for the oilfield operation using the proxy model, and updating the reservoir model based at least in part on the one or more performance indicators predicted in the proxy model.

Abstract: A method, apparatus, and program product generate an estimation of an incremental recovery for an Enhanced Oil Recovery (EOR) process performed on a naturally-fractured reservoir by classifying the naturally-fractured reservoir based upon a set of reservoir properties associated with the naturally-fractured reservoir, and generating an estimation of the incremental recovery for at least one EOR process based on the classification of the naturally-fractured reservoir.

Abstract: First equipment is provided in a first lateral branch of a well, and second equipment in a second lateral branch of the well. Cross-lateral logging is performed using the first and second equipment in the corresponding first and second lateral branches.

Abstract: A method, apparatus, and program product generate an estimation of an incremental recovery for an Enhanced Oil Recovery (EOR) process performed on a naturally-fractured reservoir by classifying the naturally-fractured reservoir based upon a set of reservoir properties associated with the naturally-fractured reservoir, and generating an estimation of the incremental recovery for at least one EOR process based on the classification of the naturally-fractured reservoir.

Abstract: First equipment is provided in a first lateral branch of a well, and second equipment in a second lateral branch of the well. Cross-lateral logging is performed using the first and second equipment in the corresponding first and second lateral branches.

Abstract: A Single Well Predictive Model (SWPM) software based computer system stores a Single Well Predictive Model (SWPM) software therein. When the SWPM software is executed, the SWPM computer system will: (1) automatically produce a first specific workflow comprised of a first plurality of software modules in response to a first set of user objectives and automatically execute the first specific workflow in response to a first set of input data to produce a first desired product, and (2) automatically produce a second specific workflow comprised of a second plurality of software modules in response to a second set of user objectives and automatically execute the second specific workflow in response to a second set of input data to produce a second desired product.

Abstract: A method for performing an oilfield operation on a reservoir, including: obtaining a user objective identifying the oilfield operation; obtaining a set of input data; selecting a workflow in response to the user objective, where the workflow comprises a build model module and a tune model module; generating a 1D model of the reservoir using the build module, where the 1D model includes multiple per unit of depth properties; generating a 3D model of the reservoir by distributing the plurality of per unit of depth properties in 3D; calibrating the 3D model using the tune model module, modular dynamic tester transient test data, and a historical response of the reservoir; forecasting a response of the reservoir to the set of input data by applying the first set of input data to the 3D model; and using the response to perform the oilfield operation.

Abstract: A method is disclosed for modeling a reservoir, comprising: receiving a set of wettability logs from a wettability logging tool adapted to be disposed in a wellbore; generating a wettability map in response to the wettability logs; generating a gridded simulation model, the gridded simulation model including a plurality of grid cells; determining, for each grid cell of the gridded simulation model, a local value of wettability from the wettability map; determining, for each grid cell of the gridded simulation model, a permeability model and a capillary pressure model from the local value of wettability associated with each grid cell; and generating a set of simulation results representing characteristics of the reservoir.

Abstract: Computer-based method and system are disclosed for conduction a brownfield assessment. The system/method involves a workflow manager that standardizes the tasks needed to be performed during the brownfield assessment and streamlines the completion of these tasks. The workflow manager incorporates expert knowledge and best practices identified over time for previous brownfield assessments. The expert knowledge and best practices are then applied automatically through operation of the workflow manager. Such an arrangement can result in significantly reduced completion time as well as more consistent deliverables from engineer to engineer and project to project.

Abstract: Oilfield development project planning and execution framework is disclosed for delivering and implementing expert knowledge and best practices in oilfield development projects. Such a project planning and execution framework integrates relevant expert knowledge and best practices with project planning and execution to guide a multi-discipline project team in successfully designing and conducting an oilfield development project. In preferred embodiments, the project planning and execution framework is a web-based tool that may be accessed by different users across multiple geographical locations and business units.

Abstract: A method is disclosed for modeling a reservoir, comprising: receiving a set of wettability logs from a wettability logging tool adapted to be disposed in a wellbore; generating a wettability map in response to the wettability logs; generating a gridded simulation model, the gridded simulation model including a plurality of grid cells; determining, for each grid cell of the gridded simulation model, a local value of wettability from the wettability map; determining, for each grid cell of the gridded simulation model, a permeability model and a capillary pressure model from the local value of wettability associated with each grid cell; and generating a set of simulation results representing a model of the reservoir.

Abstract: A method of managing a fluid or gas reservoir is disclosed which assimilates diverse data having different acquisition time scales and spatial scales of coverage for iteratively producing a reservoir development plan that is used for optimizing an overall performance of a reservoir.

Abstract: A method of managing a fluid or gas reservoir is disclosed which assimilates diverse data having different acquisition time scales and spatial scales of coverage for iteratively producing a reservoir development plan that is used for optimizing an overall performance of a reservoir.

Abstract: A Single Well Predictive Model (SWPM) software based computer system stores a Single Well Predictive Model (SWPM) software. When the SWPM software is executed, the SWPM computer system will: (1) automatically produce a first specific workflow comprised of a first plurality of software modules in response to a first set of user objectives and automatically execute the first specific workflow in response to a first set of input data to produce a first desired product, and (2) automatically produce a second specific workflow comprised of a second plurality of software modules in response to a second set of user objectives and automatically execute the second specific workflow in response to a second set of input data to produce a second desired product. One ‘desired product’ is ‘3D reservoir response model’.

Abstract: A Single Well Predictive Model (SWPM) software based computer system stores a Single Well Predictive Model (SWPM) software therein. When the SWPM software is executed, the SWPM computer system will: (1) automatically produce a first specific workflow comprised of a first plurality of software modules in response to a first set of user objectives and automatically execute the first specific workflow in response to a first set of input data to produce a first desired product, and (2) automatically produce a second specific workflow comprised of a second plurality of software modules in response to a second set of user objectives and automatically execute the second specific workflow in response to a second set of input data to produce a second desired product.