Abstract: An example method for performing reservoir engineering includes generating a geological model of a reservoir including a geological horizon, obtaining an offset relative to the geological horizon, and positioning a wellbore equipment item in a well completion design based on the offset. The method further includes calculating an absolute position of the wellbore equipment item in the well completion design based on the offset and a location of the geological horizon in the geological model and updating the geological model to generate an updated location of the geological horizon. The method further includes updating the absolute position of the wellbore equipment item in the well completion design based on the offset and the updated location of the geological horizon and simulating a simulation case including the geological model and the well completion design after updating the absolute position of the wellbore equipment item.

Abstract: An example system includes interconnected modeling modules that share knowledge to create a unified earth model dynamically representing a subsurface site. The system models and may simulate subsurface operations associated with, for example: hydrocarbon production and stimulation, natural gas storage, carbon capture and storage, aquifer maintenance, geothermal energy production, and in-situ leachable ore processing. The system integrates a reporting module, and also an economic module to evaluate cost versus benefit of each subsurface operation. A related example method for performing subsurface engineering includes generating a model of a subsurface site including a geological horizon, obtaining an offset relative to the geological horizon, and locating an operation based on the offset. When field data update the model in real time, positions of 3D objects and 3D surfaces are dynamically updated in the model, including the positions of the modeled operations.

Abstract: A method can include assigning one or more constraints to an upper surface, assigning one or more constraints to a lower surface, defining a pad configuration, generating pad locations locatable on the upper surface that conform to the defined pad configuration and the assigned constraints for the upper surface and the lower surface, and outputting specifications at least one of the generated pad locations. Various other apparatuses, systems, methods, etc., are also disclosed.

Abstract: A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.

Abstract: An example system includes interconnected modeling modules that share knowledge to create a unified earth model dynamically representing a subsurface site. The system models and may simulate subsurface operations associated with, for example: hydrocarbon production and stimulation, natural gas storage, carbon capture and storage, aquifer maintenance, geothermal energy production, and in-situ leachable ore processing. The system integrates a reporting module, and also an economic module to evaluate cost versus benefit of each subsurface operation. A related example method for performing subsurface engineering includes generating a model of a subsurface site including a geological horizon, obtaining an offset relative to the geological horizon, and locating an operation based on the offset. When field data update the model in real time, positions of 3D objects and 3D surfaces are dynamically updated in the model, including the positions of the modeled operations.

Abstract: An example method for performing reservoir engineering includes generating a geological model of a reservoir including a geological horizon, obtaining an offset relative to the geological horizon, and positioning a wellbore equipment item in a well completion design based on the offset. The method further includes calculating an absolute position of the wellbore equipment item in the well completion design based on the offset and a location of the geological horizon in the geological model and updating the geological model to generate an updated location of the geological horizon. The method further includes updating the absolute position of the wellbore equipment item in the well completion design based on the offset and the updated location of the geological horizon and simulating a simulation case including the geological model and the well completion design after updating the absolute position of the wellbore equipment item.

Abstract: A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.