A cognitive computing system for enhancing workflow performance in the oil and gas industry, in some embodiments, comprises: neurosynaptic processing logic including multiple electronic neurons operating in parallel; input and output interfaces coupled to the neurosynaptic processing logic; and one or more information repositories accessible to the neurosynaptic processing logic, wherein the neurosynaptic processing logic receives a workflow enhancement request via the input interface, accesses the one or more information repositories to obtain information pertaining to the request, uses said information to perform a probability analysis, produces an option relating to the workflow enhancement request based on said probability analysis, and presents said option via the output interface.

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

A computer-implemented method of targeting grower fields for crop yield lift is disclosed. The method comprises receiving, by a processor, crop seeding rate data and corresponding crop yield data over a period of time regarding a group of fields associated with a plurality of grower devices; receiving, by the processor, a current seeding rate for a grower's field associated with one of a plurality of grower devices; determining, whether the grower's field will be responsive to increasing a crop seeding rate for the grower's field from the current seeding rate to a target seeding rate based on the crop seeding rate data and corresponding crop yield data; preparing, in response to determining that the grower's field will be responsive, a prescription including a new crop seeding rate and a specific hybrid to be implemented in the grower's field.

A system and method for crop management uses data of specific varieties, such as the effect of growing degree units (GDU) on the phenological stage and optimal soil moisture percentage (SMP) to predict crop growth, to water the crops, and to manage agricultural systems by suggesting planting dates required to meet harvest goals. For plants growing in irrigation tracts, the system and method may use soil moisture sensors and the phenological stage information to provide water to the plants. In other embodiments, predictions are made of harvest dates for planted varieties and/or planting dates to reach harvest goals. The effect of mulching may be taken into account.

A system and method for crop management uses data of specific varieties, such as the effect of growing degree units (GDU) on the phenological stage and optimal soil moisture percentage (SMP) to predict crop growth, to water the crops, and to manage agricultural systems by suggesting planting dates required to meet harvest goals. For plants growing in irrigation tracts, the system and method may use soil moisture sensors and the phenological stage information to provide water to the plants. In other embodiments, predictions are made of harvest dates for planted varieties and/or planting dates to reach harvest goals. The effect of mulching may be taken into account.

A multi-year yield analysis in precision agriculture characterizes variables affecting crop yield to enable site-specific prescription mapping for a bounded field. Remotely-sensed imagery of the bounded field is incorporated as a replacement for, or in addition to, one or more of coverage data, uniformity data, age data, and weather data that comprise variables in the multi-year yield analysis. The multi-year yield analysis enables recommendations for variable-rate applications to the bounded field such as seeding, fertilizing, and applying crop treatments.

A multi-year yield analysis in precision agriculture characterizes variables affecting crop yield to enable site-specific prescription mapping for a bounded field. Remotely-sensed imagery of the bounded field is incorporated as a replacement for, or in addition to, one or more of coverage data, uniformity data, age data, and weather data that comprise variables in the multi-year yield analysis. The multi-year yield analysis enables recommendations for variable-rate applications to the bounded field such as seeding, fertilizing, and applying crop treatments.

A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.

A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.