CNN-LSTM Model Optimized by Bayesian Optimization for Predicting Single-Well Production in Water Flooding Reservoir

Table 1

Initial data set. The italicized items are category features which need to be one-hot encoding.

Well basic data				Reservoir data of well
Name	_coordinate	_coordinate	Depth
Unit	Layer	Start date	Flooding date	Position	Top depth (MD)	Bottom depth (MD)
Inject/production	Well type	Initial temperature	Initial pressure	Top depth (TVD)	Bottom depth (TVD)	Thickness of sand bodies
Initial pressure coefficient	Saturation pressure	Initial solution gas-oil ratio	Viscosity	Effective thickness	Porosity	Permeability
Monthly producing well production data
Time	Producing scheme	Production days	Nozzle	Pump diameter	Pump depth	Stoke
Jig frequency	Monthly liquid	Monthly oil	Monthly water	Monthly gas	Gas-oil ratio	Water cut
Cumulative oil	Cumulative water	Cumulative liquid	Recovery	Static pressure	FBHP (bottom hole flowing pressure)	Working fluid level
Monthly water-injecting well injection data
Injection methods	Injecting days	Pumping pressure	Casing pressure	Oil pressure	Injecting volume monthly	Cumulative injecting volume