Abstract: Methods and systems are provided for determining a sweep efficiency within a hydrocarbon reservoir. The method includes obtaining a well log for each of a plurality of wellbores penetrating the hydrocarbon reservoir, a deep sensing dataset for the hydrocarbon reservoir and determining a plurality of classified well logs, one from each well log using a first machine learning (ML) network. The method further includes determining a classified deep sensing dataset from the deep sensing dataset using a second ML network, training a third ML network to predict the sweep efficiency based, at least in part on the plurality of classified well logs and the classified deep sensing dataset at a location of each of the wellbores, and determining the sweep efficiency within the hydrocarbon reservoir using the trained third machine learning network based, at least in part, on the classified deep sensing dataset.

Abstract: An energy management system for an off-electric-grid solar house includes a battery pack that outputs a voltage based on load and has a linear relationship between output voltage and remaining capacity, and a solar energy power source that supplies electric power to be stored in the battery pack. One or more electric devices connected to the battery pack produce the load by drawing electric power from the battery pack. One or more sensors monitor conditions in the house. A control circuit is configured to control the one or more electric devices based on the monitored conditions and the remaining capacity in the battery pack, as the battery pack is charged by electricity from the solar energy power and discharged by load from the electric devices. The control circuit manages priority among the electric devices for changing operating status depending on remaining battery capacity.

Abstract: An energy management system for an off-electric-grid solar house includes a battery pack that outputs a voltage based on load and has a linear relationship between output voltage and remaining capacity, and a solar energy power source that supplies electric power to be stored in the battery pack. One or more electric devices connected to the battery pack produce the load by drawing electric power from the battery pack. One or more sensors monitor conditions in the house. A control circuit is configured to control the one or more electric devices based on the monitored conditions and the remaining capacity in the battery pack, as the battery pack is charged by electricity from the solar energy power and discharged by load from the electric devices. The control circuit manages priority among the electric devices for changing operating status depending on remaining battery capacity.