Patent ID: 11922104
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Civil engineering (Other fields)
Classification: CPC E  G | IPC E  G

Claim 0:
1. A computer-implemented method, comprising:
selecting, using statistical analysis from a set of independent variables corresponding to production features of an oil well in a reservoir, a subset of independent variables corresponding to production variables of the oil well, wherein the production variables include performance variables for production of the oil well, design variables of a design of the oil well, and modeled independent variables of the oil well;
training, using historical records of sidetracks from producer wells, a sidetrack performance prediction model configured to use the modeled independent variables to predict a performance of future sidetracks;
determining, using the subset of independent variables and machine learning, predicted values of dependent variables including an oil gain (ΔQo) and a water reduction (ΔQw) associated with production of the oil well;
predicting, as predicted oil gains by using the sidetrack performance prediction model, oil gains derived from horizontal sidetracking of producer wells using past production performance, subsurface information, and sidetrack design parameters;
generating, in a graphical user interface and based at least in part on the predicted values of dependent variables and predicted oil gains in a producer well in the reservoir that is re-purposed in the reservoir, a display specifying incremental values of average rate variations over a cumulative time window; and
re-purposing, based at least on the sidetrack design parameters, the producer well in the reservoir to access new sections of the reservoir to recover further hydrocarbons from the reservoir.