Abstract: Systems and methods for dynamically selecting idle or underutilized resources to complete tasks in a queue are disclosed. The systems and methods include maintaining a plurality of processing resources operable to process one or more tasks. Each resource is scalable to increase or decrease a number of nodes available to perform the one or more tasks. The systems and methods include maintaining a queue for tasks to be processed, receiving a first task requiring a processing resource, and accessing at least a portion of the plurality of processing resources. A first processing resource of the plurality of processing resources is identified that is operating below a predetermined processing threshold. The first processing resource is assigned to the first task and scaled up according according to a processing requirement of the first task.

Abstract: Systems and methods for dynamically selecting idle or underutilized resources to complete tasks in a queue are disclosed. The systems and methods include maintaining a plurality of processing resources operable to process one or more tasks. Each resource is scalable to increase or decrease a number of nodes available to perform the one or more tasks. The systems and methods include maintaining a queue for tasks to be processed, receiving a first task requiring a processing resource, and accessing at least a portion of the plurality of processing resources. A first processing resource of the plurality of processing resources is identified that is operating below a predetermined processing threshold. The first processing resource is assigned to the first task and scaled up according according to a processing requirement of the first task.

Abstract: In some implementations, a system may obtain a first set of data quality rules for an incoming dataset and a second set of data quality rules for an outgoing dataset. The system may perform a first data quality validation check for the incoming dataset based on a comparison of data quality metrics associated with the incoming dataset and the first set of data quality rules, and may process the incoming dataset to generate an outgoing dataset based on the incoming dataset passing the first data quality validation check. The system may perform a second data quality validation check for an outgoing dataset based on a comparison of data quality metrics associated with the outgoing dataset and the second set of data quality rules, and may publish the outgoing dataset to a downstream data sink based on the outgoing dataset passing the second data quality validation check.

Abstract: A method for quantifying and managing energy consumption and emissions equivalents of a subsurface development plan includes generating a plurality of digital representations of the subsurface development plan. The subsurface development plan includes a plurality of wellbores. The method also includes determining fluid production rates from the wellbores, fluid injection rates into the wellbores, or both based upon the digital representations. The method also includes determining that the fluid production rates, the fluid injection rates, or both are within operational constraints, achieve predetermined objectives, or both. The method also includes determining the energy consumption and the emissions equivalents based upon the digital representations. The emissions equivalents correspond to the energy consumption. The method also includes generating a plurality of different subsurface development plans based upon the energy consumption, the emissions equivalents, or both.

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 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 for performing a field operation of a field. The method includes obtaining historical parameter values of a runtime parameter and historical core datasets, where the historical parameter values and the historical core datasets are used for a first simulation of the field, and where each historical parameter value results in a simulation convergence during the first simulation, generating a machine learning model based at least on the historical core datasets and the historical parameter values, obtaining, during a second simulation of the field, a current core dataset, generating, using the machine learning model and based on the current core dataset, a predicted parameter value of the runtime parameter for achieving the simulation convergence during the second simulation, and completing, using at least the predicted parameter value, the second simulation to generate a modeling result of the field.

Abstract: Systems and methods for dynamically selecting idle or underutilized resources to complete tasks in a queue are disclosed. The systems and methods include maintaining a plurality of processing resources operable to process one or more tasks. Each resource is scalable to increase or decrease a number of nodes available to perform the one or more tasks. The systems and methods include maintaining a queue for tasks to be processed, receiving a first task requiring a processing resource, and accessing at least a portion of the plurality of processing resources. A first processing resource of the plurality of processing resources is identified that is operating below a predetermined processing threshold. The first processing resource is assigned to the first task and scaled up according according to a processing requirement of the first task.

Abstract: A method for performing a field operation of a field. The method includes obtaining historical parameter values of a runtime parameter and historical core datasets, where the historical parameter values and the historical core datasets are used for a first simulation of the field, and where each historical parameter value results in a simulation convergence during the first simulation, generating a machine learning model based at least on the historical core datasets and the historical parameter values, obtaining, during a second simulation of the field, a current core dataset, generating, using the machine learning model and based on the current core dataset, a predicted parameter value of the runtime parameter for achieving the simulation convergence during the second simulation, and completing, using at least the predicted parameter value, the second simulation to generate a modeling result of the field.

Abstract: A method, apparatus, and program product model an oilfield asset by selecting, for each of multiple sectors of the oilfield asset, a sector model from among a collection of sector models, building a multi-resolution integrated asset model of the oilfield asset using the selected sector model for each of the sectors, and performing a computer simulation using the multi-resolution integrated asset model. The collection of sector models for each sector includes multiple sector models modeled at varying resolutions. In addition, the multi-resolution integrated asset model includes a surface network model that couples the selected sector models to one another. As such, different sectors of an oilfield asset may be modeled at varying resolutions to balance accuracy and turnaround time when performing integrated oilfield asset modeling.

Abstract: The present invention provides moldable compositions that are capable of drying and hardening if left in open air at room temperature for a period of time. Embodiments of the moldable compositions comprise water, at least one polar polymeric resin (e.g., polyvinyl alcohol), at least one thickening agent (e.g., boric acid, borate salt, or hydrate of a borate salt), at least one humectant (e.g., glycerin, propylene glycol, etc.), at least one filler (e.g., corn starch, tapioca, or arrowroot), optionally at least one releasing agent (e.g., mineral oil) and optionally at least one additive.

Abstract: The present invention provides moldable compositions that are capable of drying and hardening if left in open air at room temperature for a period of time. Embodiments of the moldable compositions comprise water, at least one polar polymeric resin (e.g., polyvinyl alcohol), at least one thickening agent (e.g., boric acid, borate salt, or hydrate of a borate salt), at least one humectant (e.g., glycerin, propylene glycol, etc.), at least one filler (e.g., corn starch, tapioca, or arrowroot), optionally at least one releasing agent (e.g., mineral oil) and optionally at least one additive.

Abstract: A method, apparatus, and program product model an oilfield asset by selecting, for each of multiple sectors of the oilfield asset, a sector model from among a collection of sector models, building a multi-resolution integrated asset model of the oilfield asset using the selected sector model for each of the sectors, and performing a computer simulation using the multi-resolution integrated asset model. The collection of sector models for each sector includes multiple sector models modeled at varying resolutions. In addition, the multi-resolution integrated asset model includes a surface network model that couples the selected sector models to one another. As such, different sectors of an oilfield asset may be modeled at varying resolutions to balance accuracy and turnaround time when performing integrated oilfield asset modeling.

Abstract: A new adjoint method for calculating and using adjoint gradients in a Reservoir Simulator comprises: calculating adjoint gradients of an objective function with respect to changes in valve settings taking into account the modeling of pressure drop and fluid flow along a wellbore, and using the adjoint gradients to calculate sensitivities of a reservoir to changes in parameterization of downhole devices and using of these sensitivities in optimal control of the wells to optimize some objective function subject to production constraints.

Abstract: The invention includes an article for use in preparing a visual presentation having a paper or paper display item with ruled lines pre-printed thereon, and a reducing fluid source. The user can apply the reducing fluid from the reducing fluid source to the ruled lines to chemically reduce the ruled lines on at least a portion of the paper or paper display item to thereby render that portion free of visual ruled lines. Also included is a method of preparing a visual presentation comprising providing a paper or paper display item having ruled lines pre-printed thereon, writing on the paper or paper display using the pre-printed lines for guidance, and applying a reducing fluid to the lines to render the ruled lines substantially invisible without rendering invisible the writing disposed on the paper or paper display.

Abstract: A portable vacuuming device for underwater removal of leaves or the like from pool bottoms and other structural surfaces, the device employing a water pump to feed a water jet within a suction cavity wherein the water inlet for the pump is exterior to the cavity and to the housing of the device.

Abstract: A new adjoint method for calculating and using adjoint gradients in a Reservoir Simulator comprises: calculating adjoint gradients of an objective function with respect to changes in valve settings taking into account the modeling of pressure drop and fluid flow along a wellbore, and using the adjoint gradients to calculate sensitivities of a reservoir to changes in parameterization of downhole devices and using of these sensitivities in optimal control of the wells to optimize some objective function subject to production constraints.

Abstract: A portable vacuuming device for underwater removal of leaves or the like from pool bottoms and other structural surfaces, the device employing a water pump to feed a water jet within a suction cavity wherein the water inlet for the pump is exterior to the cavity.

Abstract: A bottom-founded offshore structure in relatively shallow waters is protected against sliding. It uses at least one pile and a suction pump inside the pile. The pile has a length-to-diameter ratio such as to achieve sufficient pile imbedment with the selected suction pump. A dedicated pile lowering and lifting device lowers and lifts the pile as needed. Guides allow the pile's vertical motion and limit its rotational motion during imbedment and extraction. A stop device limits the vertical motion of the pile's top rim during pile extraction. The pile is reusable, light weight, easy to install and to extract, self-contained, and economical in relationship to its high holding power when imbedded.

Abstract: A washable dry erase coloring composition comprising an acid dye or polymeric dye colorant, a dye vehicle, a release agent, and a dyeblocker additive. The dyeblocker additive is either a sulfonated naphthalene condensation product or a sulfonated phenol-formaldehyde condensation product. The dry erase coloring composition is suitable for use in marking on a whiteboard and enhances fugitivity from skin and fabrics. The dry erase coloring composition may optionally contain a film forming resin. More specifically, the invention is, in one preferred embodiment, a washable erasable whiteboard marker ink comprising an acid dye or polymeric dye, water, a film forming resin, a release agent and a sulfonated phenol-formaldehyde condensation product. In addition, the invention also includes a method of transferring an image from a whiteboard or non-porous surface to paper.