Abstract: Systems and methods for automatic well integrity log interpretation verification are disclosed. The methods include obtaining a first dataset comprising casing thickness profiles and associated electromagnetic [EM]data from at least a first hydrocarbon well having a casing; selecting a training dataset using at least a subset of the casing thickness profiles and a subset of the associated EM data; and training, using the training dataset, a machine learning network to produce a predicted corrosion log of a target section of a second hydrocarbon well from measured EM data from the second hydrocarbon well.

Abstract: A determination of a continuous oil density log for a hydrocarbon reservoir accessible via a well drilling into the formation having the reservoir. The logging operations may be conducted in the well to generate a carbon-oxygen ratio (C/O) log, a water saturation log, and a porosity log. A continuous oil density log may be determined using the C/O log, the water saturation log, the porosity log, and carbon and oxygen density values. The continuous oil density log may be used in further characterization and development of the hydrocarbon reservoir.

Abstract: Implementations provide a computer-implemented method that includes: accessing a first database holding results of interpreting casing integrity, wherein each result provides a first or a second label for a detected anomaly at a depth location of an inspection log that records electromagnetic (EM) survey data of an underground metal casing; accessing a second database holding inspection logs, each recording EM survey data of a corresponding underground metal casing; training a deep learning model configured to classify an input inspection log into the first or the second label; applying the deep learning model to one or more unclassified inspection logs of the second database, wherein the one or more unclassified inspection logs of the second database comprising anomalies; and subsequently classifying the one or more unclassified inspection logs of the second database into either the first label or the second label.

Abstract: A determination of a continuous oil density log for a hydrocarbon reservoir accessible via a well drilling into the formation having the reservoir. The logging operations may be conducted in the well to generate a carbon-oxygen ratio (C/O) log, a water saturation log, and a porosity log. A continuous oil density log may be determined using the C/O log, the water saturation log, the porosity log, and carbon and oxygen density values. The continuous oil density log may be used in further characterization and development of the hydrocarbon reservoir.

Abstract: Provided are techniques for saturation logging a hydrocarbon well in a hydrocarbon reservoir. The techniques including conducting a pulsed neutron (PN) logging of the well to generate a carbon/oxygen (C/O) log, conducting a nuclear magnetic resonance (NMR) logging of the well to generate a viscosity log, conducting a temperature logging of the well to generate a temperature log, determining a relationship of oil API gravity to viscosity and temperature for the reservoir, determining an oil API gravity log for the well based on the viscosity log, the temperature log, and the relationship of oil API gravity to viscosity and temperature, determining, based on the oil API gravity log, an oil density log for the well, determining, based on the oil density log, an oil-carbon density log for the well, and determining, based on the oil-carbon density log and the C/O log, a continuous oil saturation log for the well.

Abstract: A method, including emitting from a source of ultrafast neutrons within a logging tool deployed in a borehole, a pulse of ultrafast neutrons into an irradiated portion of a formation surrounding the borehole. The method further includes detecting, with one or more gamma ray detectors located at increasing distances from the source of ultrafast neutrons, a flux of stimulated gamma rays generated within the irradiated portion of the formation by the pulse of ultrafast neutrons; and determining, from the detected flux of stimulated gamma rays, one or more petrophysical properties of the irradiated portion of the formation.

Abstract: A method, including emitting from a source of ultrafast neutrons within a logging tool deployed in a borehole, a pulse of ultrafast neutrons into an irradiated portion of a formation surrounding the borehole. The method further includes detecting, with one or more gamma ray detectors located at increasing distances from the source of ultrafast neutrons, a flux of stimulated gamma rays generated within the irradiated portion of the formation by the pulse of ultrafast neutrons; and determining, from the detected flux of stimulated gamma rays, one or more petrophysical properties of the irradiated portion of the formation.

Abstract: Provided are techniques for saturation logging a hydrocarbon well in a hydrocarbon reservoir. The techniques including conducting a pulsed neutron (PN) logging of the well to generate a carbon/oxygen (C/O) log, conducting a nuclear magnetic resonance (NMR) logging of the well to generate a viscosity log, conducting a temperature logging of the well to generate a temperature log, determining a relationship of oil API gravity to viscosity and temperature for the reservoir, determining an oil API gravity log for the well based on the viscosity log, the temperature log, and the relationship of oil API gravity to viscosity and temperature, determining, based on the oil API gravity log, an oil density log for the well, determining, based on the oil density log, an oil-carbon density log for the well, and determining, based on the oil-carbon density log and the C/O log, a continuous oil saturation log for the well.