Abstract: A method for producing a well includes receiving production information associated with wells within a field; deriving a field specific model from the production information; receiving production information associated with the well; projecting production changes associated with installing artificial lift at the well at a projected date, the projecting using a production analysis engine applied to the field specific model, the projecting including determining a set of artificial lift parameters; and installing the artificial lift at the well in accordance with the artificial lift parameters.

Abstract: A method of determining a set of future actions includes providing an interface to a user, the interface including an adjustable element associated with a future value of an influencer. The influencer is associated with an action. The method further includes receiving via the interface an adjusted future value of the influencer, projecting a future value of a performance indicator based at least in part on the adjusted future value of the influencer, and providing a results interface to the user indicative of the future value of the performance indicator.

Abstract: A method of performing predictive analysis includes generating, using a computational device, an instance from an unstructured data source. The method further includes associating a variable entity with the instance. The variable entity is associated with an influencer of a set of influencers or a performance indicator of a set of performance indicators. In another example, the method includes determining, using the computational device, a value of the variable entity from the instance based on a value-detection rule and generating, using the computational device, a model associating the set of influencers with the set of performance indicators using the value of the variable entity.

Abstract: A method of drilling a well includes receiving depth specific drill parameters associated with drilling wells within a field; receiving drilling report entries associated with drilling the wells within the field; applying a report analysis engine to the drilling report entries to determine a drilling event; determining a field-specific drilling model utilizing the depth specific drill parameters and drilling event; prescribing a drilling recipe using a drilling analysis engine applied to the field-specific drilling model; and drilling the well in accordance with the drilling recipe.

Abstract: A method of determining a set of prescribed actions includes receiving a configuration script identifying a set of influencers, a set of performance indicators, a model type, a target time, and a prescription method. The method further includes deriving a model of the model type based on data associated with the set of influencers or with the set of performance indicators. The method also includes projecting a set of future influencer values associated with the set of influencers and projecting a set of future indicator values of the set of performance indicators at the target time using the model. The method can further include prescribing using the prescription method and based on projecting using the model a set of prescribed actions associated with the subset of actionable influencers. The method also includes displaying the set of prescribed actions.

Abstract: A method for drilling a well includes prescribing a drill recipe with a drill analysis engine based on a field-specific model. The drill recipe identifies prescribed segments, mud flow parameters, and drill parameters. Each prescribed segment of the prescribed segments includes a start depth. The method further includes initiating drilling of the well based on the drill recipe; receiving a drill log in narrative text format; detecting a drill event inconsistent with the drill recipe by analyzing the drill log with a log analysis engine; prescribing an adjusted drill recipe with the drill analysis engine based on the field-specific model in response to the drill event, the adjusted drill recipe including adjusted prescribed segments; and drilling the well based on the adjusted drill recipe.

Abstract: An exemplary method of analyzing a well log includes imaging a well log to form a well log image, performing pattern recognition on the well log image to determine pattern data, and determining stratigraphic structure data based on the pattern data. Another exemplary method of improving production from a stratigraphic structure includes performing pattern recognition on a well log image stored in an image format to determine pattern data, determining stratigraphic structure data using a computer-based structure analyzer based on the pattern data, and projecting well parameters based on the stratigraphic structure data. An exemplary system includes a scanner to scan a raster image of a printed well log and a computational system in communication with the scanner to receive the raster image. The computational system includes a pattern recognition analyzer to determine pattern data from the raster image and a structure analyzer to determine stratigraphic structure based on the pattern data.

Abstract: A method for determining a drill event includes receiving a set of historic drill reports with annotations. The historic drill reports include a plurality of entries including multiple acronyms relating to a single drilling factor. A set of entries of the plurality of entries indicates an associated depth. The method further includes training a report analysis engine utilizing the historic drill reports and annotations; receiving a drill report associated with a well; and determining a drill event and associated depth utilizing the report analysis engine applied to the drill report.

Abstract: A method of producing fluids from a geological structure includes receiving field information associated with producing wells of a field; deriving a field specific model based on the field information, the field specific model including a proximity depletion synthetic variable and a fraction hit synthetic variable; identifying a proposed location based on the application of field management engine to the field specific model, the field management engine projecting a decrease in production from wells proximal to the location and projecting an improvement in a production objective; and drilling a well at the proposed location.

Abstract: A method of determining a set of prescribed actions includes receiving a configuration script identifying a set of influencers, a set of performance indicators, a model type, a target time, and a prescription method. The method further includes deriving a model of the model type based on data associated with the set of influencers or with the set of performance indicators. The method also includes projecting a set of future influencer values associated with the set of influencers and projecting a set of future indicator values of the set of performance indicators at the target time using the model. The method can further include prescribing using the prescription method and based on projecting using the model a set of prescribed actions associated with the subset of actionable influencers. The method also includes displaying the set of prescribed actions.

Abstract: A method for maintaining a well includes receiving production information associated with wells within a field; deriving a field specific model from the production information; receiving initial production information associated with the well; projecting a maintenance schedule associated with the well using a production analysis engine applied to the field specific model, the maintenance schedule including a maintenance event and an associated date; and implementing the maintenance schedule on the well.

Abstract: A method for completing a well includes receiving completion parameters associated with wells within a field. The completion parameters including casing parameters, perforation parameters, and fracking parameters. The method further includes determining a field-specific model utilizing the completion parameters and prescribing a completion recipe using a completion analysis engine applied to the field-specific model. The completion recipe includes prescribed perforation parameters and prescribed fracking parameters. The completion analysis engine includes a neural network derived from the field-specific model or regression of a correlation of features in the field-specific model. The method also includes completing the well in accordance with the completion recipe including performing perforation in accordance with the perforation parameters and fracking in accordance with the fracking parameters.

Abstract: A system includes a field-specific model; a log analysis engine; a drill analysis engine; an interface; and computational circuitry in communication with the field-specific model, the log analysis engine, the drill analysis engine, and the interface. The computational circuitry is to: prescribe a drill recipe using the drill analysis engine based on the field-specific model, the drill recipe identifying prescribed segments, mud flow parameters, and drill parameters, each prescribed segment of the prescribed segments including an associated depth; receive a drill log in narrative text format via the interface; detect a drill event inconsistent with the drill recipe by analyzing the drill log with the log analysis engine; and prescribe an adjusted drill recipe using the drill analysis engine based on the field-specific model in response to the drill event, the adjusted drill recipe including adjusted prescribed segments.

Abstract: A method for completing a well includes receiving completion parameters associated with a well within a field; projecting a production of the well based on the completion parameters using a completion engine applied to a field-specific model; prescribing proposed completion parameters for the well to comply with a production objective using the completion engine applied to the field-specific model; projecting a proposed production based on the proposed completion parameters using the completion engine applied to the field-specific model; and recompleting the well in accordance with the proposed completion parameters.

Abstract: An exemplary method of analyzing a well log includes imaging a well log to form a well log image, performing pattern recognition on the well log image to determine pattern data, and determining stratigraphic structure data based on the pattern data. Another exemplary method of improving production from a stratigraphic structure includes performing pattern recognition on a well log image stored in an image format to determine pattern data, determining stratigraphic structure data using a computer-based structure analyzer based on the pattern data, and projecting well parameters based on the stratigraphic structure data. An exemplary system includes a scanner to scan a raster image of a printed well log and a computational system in communication with the scanner to receive the raster image. The computational system includes a pattern recognition analyzer to determine pattern data from the raster image and a structure analyzer to determine stratigraphic structure based on the pattern data.

Abstract: A method for drilling a well includes prescribing a drill recipe using a drill analysis engine based on a field-specific model. The drill recipe identifies prescribed segments. Each prescribed segment of the prescribed segments includes a start depth. The method further includes initiating drilling of the well based on the drill recipe; detecting a drill event inconsistent with the drill recipe; prescribing an adjusted drill recipe using the drill analysis engine based on the field-specific model in response to the drill event, the adjusted drill recipe including adjusted prescribed segments; and drilling the well based on the adjusted drill recipe.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.

Abstract: A method of digitizing a well log includes identifying automatically with a computational circuitry a legend and at least one graph of the well log; determining based on a machine learning a parameter of the at least one graph indicated in the legend; and digitizing the at least one graph based on the parameter.