A hydraulic fracture design model that simulates the complex physical process of fracture propagation in the earth driven by the injected fluid through a wellbore. An objective in the model is to adhere with the laws of physics governing the surface deformation of the created fracture subjected to the fluid pressure, the fluid flow in the gap formed by the opposing fracture surfaces, the propagation of the fracture front, the transport of the proppant in the fracture carried by the fluid, and the leakoff of the fracturing fluid into the permeable rock. The models used in accordance with methods of the invention are typically based on the assumptions and the mathematical equations for the conventional 2D or P3D models, and further take into account the network of jointed fracture segments. For each fracture segment, the mathematical equations governing the fracture deformation and fluid flow apply. For each time step, the model predicts the incremental growth of the branch tips and the pressure and flow rate distribution in the system by solving the governing equations and satisfying the boundary conditions at the fracture tips, wellbore and connected branch joints. An iterative technique is used to obtain the solution of this highly nonlinear and complex problem.

A hydraulic fracture design model that simulates the complex physical process of fracture propagation in the earth driven by the injected fluid through a wellbore. An objective in the model is to adhere with the laws of physics governing the surface deformation of the created fracture subjected to the fluid pressure, the fluid flow in the gap formed by the opposing fracture surfaces, the propagation of the fracture front, the transport of the proppant in the fracture carried by the fluid, and the leakoff of the fracturing fluid into the permeable rock. The models used in accordance with methods of the invention are typically based on the assumptions and the mathematical equations for the conventional 2D or P3D models, and further take into account the network of jointed fracture segments. For each fracture segment, the mathematical equations governing the fracture deformation and fluid flow apply. For each time step, the model predicts the incremental growth of the branch tips and the pressure and flow rate distribution in the system by solving the governing equations and satisfying the boundary conditions at the fracture tips, wellbore and connected branch joints. An iterative technique is used to obtain the solution of this highly nonlinear and complex problem.

Methods and systems for fabricating micro-fluidic devices include determining a target cost function value based device design parameters. The performance of one or more chosen design candidates is simulated in a selected simulation model. A design candidate is identified with a cost function value closest to the target cost function value as a best initial design candidate. Design parameters of the best initial design candidate are iteratively modified to provide a modified design candidate having design parameters differing from the design parameters of the best initial design candidate, a cost function value is iteratively calculated for the modified initial design candidate, and optimized device design parameters are iteratively derived from a modified design candidate, until a computed cost function value for the modified design candidate meets the determined target cost function value. An optimized micro-fluidic device is fabricated using the modified design candidate and the optimized device design parameters.

Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

The invention relates to a method for exploiting (EXP) a subsurface deposit comprising at least one outcrop, the exploitation (EXP) of the deposit is based on a geological model (MOD) formed from a photogrammetry. The method reconstructs the geological outcrops in three dimensions (R3D) from photographs (PHO), and interprets the geological elements thereof, such as the sedimentary surfaces, the geological facies, the fault lines and the fractures, the inclination of the beds, etc. to construct a geological model of the deposit (MOD).

Embodiments of systems, non-transitory computer-readable medium having one or more computer programs stored therein, and computer-implemented methods are provided to enhance hydrocarbon reservoir simulation for a plurality of hydrocarbon reservoirs. According to embodiments, a plurality of fluid flow simulation runs in each of a plurality of hydrocarbon reservoirs are initiated. Then, each of a first set of one or more of the plurality of simulation runs are terminated while each of a second set of one or more of the plurality of simulation runs continue. Terminating each of the first set of simulation runs can increase processing availability within a collective limited and predetermined combined computing capacity of one or more processors to another one or more of the plurality of simulation runs being run. Consequently, terminating each of the first set of simulation runs can thereby reduce total hydrocarbon reservoir simulation run time.

In an example, a method includes storing thermoset resin rheology data associated with a thermoset resin at a memory. The thermoset resin rheology data includes a plurality of sets of dynamic fluid flow properties that are measured for the thermoset resin. The method includes receiving, at a computing device, information associated with a printed circuit board (PCB) laminate design. The method also includes receiving, at the computing device, a first set of PCB lamination parameters. The method further includes storing, at the computing device, a first thermoset resin flow model. The first thermoset resin flow model is generated based on the thermoset resin rheology data, the information associated with the PCB laminate design, and the first set of PCB lamination parameters.