Abstract: A system and method that include receiving an oilfield operational plan and converting the oilfield operational plan into pixel-grids that are interpreted as images. The system and method also include inputting the pixel-grids to an image analysis convolution neural network to execute an image interpretation process. The system and method additionally include determining a current state of the oilfield operational plan based on the image interpretation process. The system and method further include determining a next state of the oilfield operational plan.

Abstract: A method includes representing oilfield operational plan information as pixels where the pixels include pixels that correspond to a plurality of different state variables associated with oilfield operations; training a deep neural network based at least in part on the pixels to generate a trained deep neural network; implementing the trained deep neural network during generation of an oilfield operational plan; and outputting the oilfield operational plan as a digital plan that specifies at least one control action for oilfield equipment.

Abstract: A method includes accessing a domain model plan that includes a time independent initial state and a time independent goal state and sequences of events that include a sequence of a first event, a second event and a third event with conditional interrelationships; accessing operational data that include a failure condition for the third event and a time constraint for the failure condition; issuing a control instruction to rigsite equipment to perform a drilling-related action for generating the third event; during performance of the drilling-related action for generating the third event, receiving sensor data germane to the failure condition; upon occurrence of the failure condition, timing a duration of the occurrence of the failure condition; comparing the duration to the time constraint for the failure condition; and, based on the comparing, deciding to re-plan the domain model plan or to continue execution of the domain model plan.

Abstract: Systems and methods facilitate wellbore planning and cleaning operations, and generally relate to use of a planning system that interfaces with a simulator. The planner and simulator interact, via the interface, to evaluate various wellbore plans and the effects of the plans on cuttings accumulation, cuttings transport, wellbore geometry, or other borehole conditions. The cost, risk, time, or other associated outcomes of the plans can be compared and evaluated and selected. The plan is then implemented. Planning can continue in substantially real-time to continue modifying the plan to provide a desired balance of outcomes.

Abstract: A method includes receiving oilfield operational plan information; determining oilfield operational plan actions based at least in part on the oilfield operational plan information by implementing a combinatorial solver; assessing at least a portion of the oilfield operational plan actions by implementing a logical solver; and, based at least in part on the determining and the assessing, outputting an oilfield operational plan as a digital plan that specifies at least one control action for oilfield equipment.

Abstract: A recursive structure of inference rules is disclosed that enables translation of sensed data into high level predicates, e.g. to authorize the starts and ends of actions and detect violation of invariants, hence enabling coordination at different levels and/or across different domains at the same level within a multi-domain architecture. In embodiments, a processor may receive a condition configured to authorize an action of a system having equipment; identify a rule as a potential supporter of the condition in response to determining that the rule is associated with the condition; infer an implicant of the rule to be true when prerequisites of an antecedent of the rule are determined to be true; activate the rule in response to determining that the antecedent is true, wherein a validity of the condition is based on activation of the rule; and instruct the equipment to perform the action based on the validity of the condition.

Abstract: A computing device that is communicatively coupled to equipment includes a component having a planner component, wherein the planner component generates a plan to be performed using the equipment and the component instructs the equipment to execute the plan. The plan includes actions to be dispatched for performance by the equipment. Each action may include a first ordered happening of a respective action to be performed by the equipment, wherein the first ordered happening includes a start indication that indicates a respective action is starting, and a second ordered happening of a respective action to be performed by the equipment, wherein the second ordered happening includes an end indication that indicates the respective action is ending.

Abstract: A recursive structure of inference rules is disclosed that enables translation of sensed data into high level predicates, e.g. to authorize the starts and ends of actions and detect violation of invariants, hence enabling coordination at different levels and/or across different domains at the same level within a multi-domain architecture. In embodiments, a processor may receive a condition configured to authorize an action of a system having equipment; identify a rule as a potential supporter of the condition in response to determining that the rule is associated with the condition; infer an implicant of the rule to be true when prerequisites of an antecedent of the rule are determined to be true; activate the rule in response to determining that the antecedent is true, wherein a validity of the condition is based on activation of the rule; and instruct the equipment to perform the action based on the validity of the condition.

Abstract: Multi-domain planning and execution systems and methods are disclosed whereby each planning component in a decomposed architecture is associated with its own domain, each planning component may supervise levels underneath it, and dependencies between domains are managed by the coordination of goals and constraints. For example, a computing device may be communicatively coupled to equipment; include a first-level component having a first-level planner component that generates a first-level plan associated with an operation using the equipment; and include second-level components, each associated with respective equipment and each including a second-level planner component that generates a second-level plan based on the first-level plan, wherein the second-level plan has instructions to perform a portion of the operation, and each second-level component instructs each respective equipment to execute a respective second-level plan.

Abstract: A method includes receiving oilfield operational plan information; determining oilfield operational plan actions based at least in part on the oilfield operational plan information by implementing a combinatorial solver; assessing at least a portion of the oilfield operational plan actions by implementing a logical solver; and, based at least in part on the determining and the assessing, outputting an oilfield operational plan as a digital plan that specifies at least one control action for oilfield equipment.

Abstract: A method includes representing oilfield operational plan information as pixels where the pixels include pixels that correspond to a plurality of different state variables associated with oilfield operations; training a deep neural network based at least in part on the pixels to generate a trained deep neural network; implementing the trained deep neural network during generation of an oilfield operational plan; and outputting the oilfield operational plan as a digital plan that specifies at least one control action for oilfield equipment.

Abstract: A plan structure and a method for creating a plan for forming/operating a sub-sea or sub-terranean well, in an automated planner, are disclosed. The plan defines logical, sequential and conditional interrelationships between events in the plan, so that a controller can carry out the plan in a flexible and time-independent manner to complete the sequenced events. The definition of the logical, sequential and conditional interdependencies permits flexibility in how the controller uses the time and resources available to it so that the plan directs the controller in a non-prescriptive manner, allowing greater flexibility in plan execution and reducing the necessity for re-planning to occur when changes in the world or environment in which the controller executes the plan are detected.

Abstract: A plan structure and its applications in the upstream oil and gas industry are disclosed. The plan defines logical, sequential and conditional interrelationships between events in the plan, so that a controller can carry out the plan in a flexible and time-independent manner to complete the sequenced events. The definition of the logical, sequential and conditional interdependencies permits flexibility in how the controller uses the time and resources available to it so that the plan directs the controller in a non-prescriptive manner, allowing greater flexibility in plan execution and reducing the necessity for re-planning to occur when changes in the world or environment in which the controller executes the plan are detected.