Abstract: An electrosurgical system is provided and includes an electrosurgical instrument and an electrosurgical generator. The electrosurgical system obtains information about the tissue undergoing a sealing process in order to calculate information about the tissue undergoing the sealing process and, in real-time, modify the RF energy being provided to the electrosurgical instrument from the electrosurgical generator. In this way, the electrosurgical system manages the supply of RF energy to optimally seal different types of tissue. The electrosurgical instrument is configured to seal the tissue using the RF energy.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The processing device is configured to obtain time-series temperature data from respective temperature sensors arranged at respective different subsurface depths, and for each of a plurality of pairs of the temperature sensors, to compute a cross-correlation of their corresponding time-series temperature data, to compute a time derivative of the cross-correlation, and to generate an estimate of at least one reservoir property based at least in part on the time derivative of the cross-correlation. At least one automated action is performed based at least in part on the generated estimate, such as, for example, controlling an amount of fluid flow into or out of a particular subsurface region. The generated estimates illustratively comprise estimates of subsurface hydraulic diffusivity.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The processing device is configured to obtain time-series temperature data from respective temperature sensors arranged at respective different subsurface depths, and for each of a plurality of pairs of the temperature sensors, to compute a cross-correlation of their corresponding time-series temperature data, to compute a time derivative of the cross-correlation, and to generate an estimate of at least one reservoir property based at least in part on the time derivative of the cross-correlation. At least one automated action is performed based at least in part on the generated estimate, such as, for example, controlling an amount of fluid flow into or out of a particular subsurface region. The generated estimates illustratively comprise estimates of subsurface hydraulic diffusivity.