Artificial Intelligence plays an increasingly important role in many industrial applications as it has great potential for solving complex engineering problems. One of such is the optimization petroleum reservoirs production. It crucial to produce hydrocarbons efficiently their geological resources are limited. From economic point view, hydrocarbon well control factor affects whole market. The ...

the oudna field part of the offshore northeastern tunisia, straddles between two structural domains, the tunisian atlas to the north and the pelagian sea to the south. the study of this field has confirmed adequate petroleum system in fahdene formations (albian-cenomanian) and birsa (serravallian) resulting from the combination of several sedimentary, tectonic and thermal factors. to do this, w...

This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been revparashar iewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material, as presented, does not necessarily reflect any position of the Society of ...

The oil producing country needs a real view of its oil reserves and the forecasts of production, to cover its annual expenditures. The most influence is on their market value which mostly depends on their reserves. Oil companies can build better investment portfolios or divest in particular fields. Finally, the investors and global bankers seek to use better data for comparing investment opport...

Reservoir simulations always involve a large number of parameters to characterize the properties of formation and fluid, many of which are subject to uncertainties owing to spatial heterogeneity and insufficient measurements. To provide solutions to uncertainty-related issues in reservoir simulations, a general package called GenPack has been developed. GenPack includes three main functions req...

Mathematical models of petroleum reservoirs have been utilized since the late 1800s. A mathematical model consists of a set of equations that describe the flow of fluids in a petroleum reservoir, together with an appropriate set of boundary and/or initial conditions. This chapter is devoted to the development of such a model. Fluid motion in a petroleum reservoir is governed by the conservation...

This paper presents a method by which uncertainty in reservoir modeling can be reduced by integrating observed data in the estimation of model parameters. The problem is inverse and ill-posed. Further, since the observed data and the reservoir properties are non-linearly related, reducing uncertainty becomes a non-trivial task. The methodology involves generating multiple reservoir descriptions...