Abstract: A method can include, for a control action for a hydraulic fracturing operation of a well, using a trained machine learning model that predicts treatment pressure of the hydraulic fracturing operation, determining if the control action increases efficiency; if the control action increases efficiency, assessing viability of the control action with respect to one or more predefined criteria; and, if the control action is viable, issuing the control action for implementation during the hydraulic fracturing operation.

Abstract: Methods, apparatuses, and computer-readable media are set forth for visualizing and interacting with well production data in a three-dimensional or four-dimensional environment, e.g., using a volumetric well production display representation representing a well in an oilfield and including a plurality of display characteristics configured to display historical production data for the well over a time period.

Abstract: A navigation service generates a route for navigating from a route origin to a route destination using a private roads repository. A ghost road is along the route, and a ghost origin and a ghost destination of the ghost road is identified. Using an application programming interface of a base roads engine, a request for a route is sent from the ghost origin to the ghost destination. From the base roads engine and in response to the request, a replacement section from the ghost origin to the ghost destination is received. The ghost road is replaced with the replacement section to create an updated route, which is presented.

Abstract: A method including obtaining a first image of a geographical location and a physical object located therein. Pixels in the first image are assigned to corresponding points in a Cartesian coordinate system defined specifically for the first image. The resulting virtual map includes a virtual representation of the physical object, a set of Cartesian coordinates assigned to a set of pixels in the pixels, and a set of Cartesian rotation angles assigned to the set of pixels. A first transform is calculated that scales the Cartesian coordinate system to a physical scale of the geographical location. A data structure stored in a data repository is formed by applying the first transform to the virtual map. The data structure includes the set of pixels, a set of scaled Cartesian coordinates, the set of Cartesian rotation angles, and a physical scale virtual representation of the physical object.

Abstract: A method including generating, by a navigation service, a route for navigating from a route origin to a route destination using a private roads repository. The method includes identifying a ghost origin and a ghost destination of a ghost road along the route. The method includes sending, using an application programming interface of a base roads engine, a first request for a route from the ghost origin to the ghost destination. The method includes receiving, from the base roads engine in response to the first request, a replacement section from the ghost origin to the ghost destination. The method includes replacing, in the route, the ghost road with the replacement section to create an updated route including segments. The method includes generating an estimated travel time from the route origin to the route destination over the segments of the updated route. The method includes presenting the estimated travel time.

Abstract: A method for rapid region wide production forecasting includes identifying base data of a well in a plurality of wells of a region; selecting, using the base data and from a set of a models comprising a rich machine learning model, a location based machine learning model, and a decline curve model, a well model; and generating, based on the selecting, a forecasted production of the well using the base data and the well model. The method further includes aggregating a plurality of forecasted productions of the plurality of wells, the plurality of forecasted productions including the forecasted production, to generate a region forecast using the rich machine learning model, the location based machine learning model, and the decline curve model; and presenting the region forecast.

Abstract: A method including obtaining a first image of a geographical location and a physical object located therein. Pixels in the first image are assigned to corresponding points in a Cartesian coordinate system defined specifically for the first image. The resulting virtual map includes a virtual representation of the physical object, a set of Cartesian coordinates assigned to a set of pixels in the pixels, and a set of Cartesian rotation angles assigned to the set of pixels. A first transform is calculated that scales the Cartesian coordinate system to a physical scale of the geographical location. A data structure stored in a data repository is formed by applying the first transform to the virtual map. The data structure includes the set of pixels, a set of scaled Cartesian coordinates, the set of Cartesian rotation angles, and a physical scale virtual representation of the physical object.

Abstract: A method includes receiving data where the data include data for a plurality of factors associated with a plurality of wells; training a regression model based at least in part on the data and the plurality of factors; outputting a trained regression model; and predicting production of a well via the trained regression model.

Abstract: A navigation service generates a route for navigating from a route origin to a route destination using a private roads repository. A ghost road is along the route, and a ghost origin and a ghost destination of the ghost road is identified. Using an application programming interface of a base roads engine, a request for a route is sent from the ghost origin to the ghost destination. From the base roads engine and in response to the request, a replacement section from the ghost origin to the ghost destination is received. The ghost road is replaced with the replacement section to create an updated route, which is presented.

Abstract: Methods, apparatuses, and computer-readable media are set forth for visualizing and interacting with well production data in a three-dimensional or four-dimensional environment, e.g., using a volumetric well production display representation representing a well in an oilfield and including a plurality of display characteristics configured to display historical production data for the well over a time period.

Abstract: A method includes receiving data where the data include data for a plurality of factors associated with a plurality of wells; training a regression model based at least in part on the data and the plurality of factors; outputting a trained regression model; and predicting production of a well via the trained regression model.