Genetic programming techniques with applications in the oil and gas industry

Abstract

The chapter, entitled ‘Genetic Programming Techniques with Applications in the Oil and Gas Industry’ consists of four parts. The first part presents theoretical features of the geneticprogramming algorithm, describing its main components, such as individual representation, initialization of the population, evaluation of the individuals, genetic operators, and selectionscheme. The second part is concerned with a hybrid evolutionary algorithm’ Gene Expression Programming, which combines features from genetic algorithms and genetic programming. In the third part, references towards software frameworks that implement GP are provided. This part then focuses on the use of the R package for genetic programming’ RGP and provides a guide for the package, using two model problems to exemplify its usage. The last part reviews applications of genetic programming for petroleum engineering problems.