Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Abstract: An embodiment of a method of performing an energy industry operation includes storing one or more sets of instructions at a storage location accessible by a controller configured to control aspects of an energy industry operation, the one or more sets of instructions retrieved from a library of sets of instructions, each set of instructions prescribing a standard procedure for performing a process forming part of the energy industry operation, the standard procedure based on best operating practices developed from previously performed operations independent of the process to be performed. The method also includes deploying a carrier in a borehole in an earth formation and performing an energy industry operation, monitoring the operation and, in response to detecting a condition associated with the process, automatically retrieving the set of instructions corresponding to the process, and automatically performing the process by the controller according to the retrieved set of instructions.

Abstract: A polycrystalline diamond (PCD) composite compact element comprising a PCD structure bonded to a cemented carbide substrate, in which at least a peripheral region of the substrate comprises cemented carbide material having a mean free path (MFP) characteristic of at least about 0.1 microns and at most about 0.7 microns; and an elastic limit of at least about 1.9 GPa.

Abstract: An embodiment of a method of performing an energy industry operation includes storing one or more sets of instructions at a storage location accessible by a controller configured to control aspects of an energy industry operation, the one or more sets of instructions retrieved from a library of sets of instructions, each set of instructions prescribing a standard procedure for performing a process forming part of the energy industry operation, the standard procedure based on best operating practices developed from previously performed operations independent of the process to be performed. The method also includes deploying a carrier in a borehole in an earth formation and performing an energy industry operation, monitoring the operation and, in response to detecting a condition associated with the process, automatically retrieving the set of instructions corresponding to the process, and automatically performing the process by the controller according to the retrieved set of instructions.

Abstract: A polycrystalline diamond (PCD) composite compact element comprising a PCD structure bonded to a cemented carbide substrate, in which at least a peripheral region of the substrate comprises cemented carbide material having a mean free path (MFP) characteristic of at least about 0.1 microns and at most about 0.7 microns; and an elastic limit of at least about 1.9 GPa.

Abstract: To improve drilling performance, a drilling fluid is selected based on one or more criteria and to have at least one target characteristic. Drilling equipment is used to drill a wellbore, and the selected drilling fluid is provided into the wellbore during drilling with the drilling equipment. The at least one target characteristic of the drilling fluid includes an ability of the drilling fluid to penetrate into formation cuttings during drilling to weaken the formation cuttings.

Abstract: A polycrystalline diamond (PCD) composite compact element comprising a PCD structure bonded to a cemented carbide substrate, in which at least a peripheral region of the substrate comprises cemented carbide material having a mean free path (MFP) characteristic of at least about 0.1 microns and at most about 0.7 microns; and an elastic limit of at least about 1.9 GPa.

Abstract: To improve drilling performance, a drilling fluid is selected based on one or more criteria and to have at least one target characteristic. Drilling equipment is used to drill a wellbore, and the selected drilling fluid is provided into the wellbore during drilling with the drilling equipment. The at least one target characteristic of the drilling fluid includes an ability of the drilling fluid to penetrate into formation cuttings during drilling to weaken the formation cuttings.

Abstract: A method is provided for generating an indicator of potential bit abrasion in a particular wellbore. Forensic wellbore data is obtained from at least one previously drilled wellbore which is determined to be comparable to the particular target wellbore. Typically, the comparable wellbore comprises an “offset” wellbore which is proximate the target wellbore, and which has similar geologic features. An inference engine computer program is provided which consists of executable program instructions. It is adapted to utilize a plurality of wellbore parameters, including the forensic wellbore data. The inference engine includes at least one rule matrix which defines a plurality of fuzzy sets. These fuzzy sets establish correspondence between the plurality of wellbore parameters and the indictor of potential bit abrasion. The inference engine computer program is loaded onto a data processing system. At least the forensic wellbore data is supplied as an input to the inference engine computer program.

Abstract: A method and apparatus are provided for generating an indicator of potential for abrupt changes in rock strength in a particular wellbore. Forensic wellbore data is obtained from at least one previously drilled wellbore which is determined to be comparable to the target wellbore. An interfacial severity computer program is provided. The program consists of executable program instructions. It is adapted to utilize a plurality of wellbore parameters, including at least one forensic wellbore data element. The interfacial severity computer program is loaded onto a data processing system. At least the forensic wellbore data, and possibly other wellbore parameter data elements, are supplied as an input to the interfacial severity computer program. The data processing system is utilized to execute program instructions of the interfacial severity computer program.

Abstract: A method is provided for generating an indicator of potential bit performance in a particular wellbore. Forensic wellbore data is obtained from at least one previously drilled wellbore which is determined to be comparable to the particular target wellbore. Typically, the comparable wellbore comprises an “offset” wellbore which is proximate the target wellbore, and which has similar geologic features. An inference engine computer program is provided which consists of executable program instructions. It is adapted to utilize a plurality of wellbore parameters, including the forensic wellbore data. The inference engine includes at least one rule matrix which defines a plurality of fuzzy sets. These fuzzy sets establish correspondence between the plurality of wellbore parameters and the indictor of potential bit performance. The inference engine computer program is loaded onto a data processing system.