Abstract: A system and method for predicting oil production is disclosed herein. A computing system receives production data for a plurality of wells in a plurality of geographic regions. The computing system identifies a subset of wells from the plurality of wells. The subset of wells includes wells that have a threshold amount of production data. The computing system trains a machine learning model using the subset of wells. The computing system applies the trained learning model to a target well to predict oil production from the target well.

Abstract: A method includes receiving ticket and invoice data. The method further includes comparing the ticket and invoice data to rules to identify anomalies. The method further includes generating a graphical user interface displaying information related to the anomalies and selectable options to assign the anomalies to user accounts. The method further includes, in response to receiving a selection of an option to assign a particular anomaly to a user account, storing data assigning the particular anomaly to the user account. The method further includes, in response to receiving a request to access the user account, generating a graphical user interface displaying information related to the particular anomaly.

Abstract: Techniques for allocating hydrocarbon production include receiving a selection of a particular area identification (ID) of a plurality of area IDs stored on the server; determining based on the selected particular area ID, a plurality of hydrocarbon production values that include periodic area-level hydrocarbon production values associated with the particular area ID and a plurality of wells associated with the particular area ID; determining a decline curve model for the area-level hydrocarbon production values associated with the particular area ID; modeling the aggregated periodic well-level hydrocarbon production values with the determined decline curve model; and determining allocated well-level hydrocarbon production values based at least in part on the selected decline curve model to display at a client device.

Abstract: A system and method are provided for automatically correlating geologic tops. The system receives well logs from different well bores and each of the picks is added to a priority queue ordered by each pick's quality measure. User selected picks are assigned the highest level of quality measure. The system performs correlation by selecting a window of well log data about a pick selected from the top of the priority queue and then finding the best optimal match with a corresponding window in a neighboring wellbore.

Abstract: Techniques for determining an operator position for a hydrocarbon production area include identifying an entity name; determining a plurality of land areas associated with the entity name based on at least one public data set, at least one of the land areas including a hydrocarbon-bearing land area; determining a position associated with the entity name for each of the plurality of land areas based on the at least one public data set and at least one private data set, the position including an operator position or a non-operator position; determining at least a portion of the plurality of land areas in which the determined position associated with the entity name includes the operator position; aggregating the determined portion of the plurality of land areas to generate an operator land area for the entity name; and generating a graphical representation of the generated operator land area to present to a user.

Abstract: Techniques for predicting a landing zone of a wellbore include identifying a first subsurface geological model of a first subterranean layer located under a terranean surface that includes an upper boundary depth of the first subterranean layer and a lower boundary depth of the first subterranean layer; identifying a second subsurface geological model of a second subterranean layer deeper than the first subterranean layer that is independent of the first subsurface geological model and includes an upper boundary depth of the second subterranean layer; correlating a predicted landing zone for a plurality of wellbores using the first and second subsurface geological models that is based on a location of a horizontal portion of each wellbore; and generating data that comprises a representation of the correlated plurality of wellbores for presentation on a graphical user interface (GUI).

Abstract: Techniques for determining a spacing, such as one or more distances, between two or more wellbores formed from a terranean surface to a subterranean formation are described. In some aspects, a wellbore segment is determined for both a first and a second wellbore. One or more distances between the wellbore segments on the first and second wellbores, respectively, is determined. From the determined distance between the wellbore segments on the first and second wellbores, one or more distances between the first and second wellbores may be determined.

Abstract: Techniques for allocating hydrocarbon production include receiving a selection of a particular area identification (ID) of a plurality of area IDs stored on the server; determining based on the selected particular area ID, a plurality of hydrocarbon production values that include periodic area-level hydrocarbon production values associated with the particular area ID and a plurality of wells associated with the particular area ID; determining a decline curve model for the area-level hydrocarbon production values associated with the particular area ID; modeling the aggregated periodic well-level hydrocarbon production values with the determined decline curve model; and determining allocated well-level hydrocarbon production values based at least in part on the selected decline curve model to display at a client device.

Abstract: A raster log digitization system and method are disclosed. The system and method receives a raster log in which the raster log has one or more values of one or more measurements of a well and each value of each measurement being recorded at a plurality of depths of the well. In the raster log, the value of at least one measurement wraps around the raster log. The system and method may generate using the received raster log a digital log from the raster log wherein the digital log resolves the values of at least one measurement that wrapped around the raster log.

Abstract: An energy deposit determining system and method are provided that determines a productive lease or well. The system and method may be used for oil wells, gas wells, oil and gas explorations and/or mineral leases.

Abstract: Techniques for allocating hydrocarbon production include receiving a selection of a particular area identification (ID) of a plurality of area IDs stored on the server; determining based on the selected particular area ID, a plurality of hydrocarbon production values that include periodic area-level hydrocarbon production values associated with the particular area ID and a plurality of wells associated with the particular area ID; determining a decline curve model for the area-level hydrocarbon production values associated with the particular area ID; modeling the aggregated periodic well-level hydrocarbon production values with the determined decline curve model; and determining allocated well-level hydrocarbon production values based at least in part on the selected decline curve model to display at a client device.