Abstract: Systems and methods for optimizing production of unconventional horizontal wells. A method for optimizing production of a resource from an unconventional horizontal well comprises compiling values for predictor parameters and target parameters for each of a plurality of known wells. The method includes generating a model for anticipating production of the unconventional horizontal well. The method comprises using a production optimizer and the model to determine a physical parameter change for increasing the anticipated production from the unconventional horizontal well. The method includes communicating the physical parameter change to a rig. The method comprises causing the rig to make the physical parameter change to the unconventional horizontal well.

Abstract: Systems and methods for optimizing production of unconventional horizontal wells. A method for optimizing production of a resource from an unconventional horizontal well comprises compiling values for predictor parameters and target parameters for each of a plurality of known wells. The method includes generating a model for anticipating production of the unconventional horizontal well. The method comprises using a production optimizer and the model to determine a physical parameter change for increasing the anticipated production from the unconventional horizontal well. The method includes communicating the physical parameter change to a rig. The method comprises causing the rig to make the physical parameter change to the unconventional horizontal well.

Abstract: A self-learning system, a method, and a non-transitory computer readable medium having computer executable instructions stored thereon, where each assist in determining a total time prediction for a potential project involving heavy equipment and heavy equipment information. Each may include calculating a prediction for a heavy equipment number, a well density number, how long a heavy equipment will take to move from well to well, a well quantity, and how long a total project will take given a specific area of land and the geological properties thereof. The self-learning system, method, and non-transitory computer readable medium involve a recursion step, wherein the calculation of a prediction is updated when new information is attained.