In petroleum industry, the prediction of oil production flow rate plays an important role in tracking good performance as well maintaining rate. addition, a modelling with high accuracy will be useful optimizing properties to achieve expected rate, enhance recovery factor and ensure economic efficiency. However, is traditionally predicted by theoretical or empirical models. The model usually gi...

In oil and gas industry, oil is produced from wells drilled into the oil reservoirs. A thorough understanding and characterization of the subsurface is crucial to sustainable management of a reservoir. The subsurface, however, is largely heterogeneous and oil is not present everywhere. For our study area, the reservoir rock is categorized as three facies: brine sand, oil sand and shale, and it ...

Just over fifty years ago, Hubbert correctly predicted that US oil production in the lower-48 states would soon peak, despite substantially rising production at the time. Hubbert based his prediction on the empirical observation that the production rate at oil reservoirs typically follows a bell-shaped curve that peaks near the midpoint of production. We present a highly simplified physical mod...

Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-Error-Propaga...

A distributed neural network, running on a large transputer-based parallel computer, was trained to identify the presence of the main lithographical facies types in a particular oil well, using only the readings obtained by a log probe. The resulting trained network was then used to analyse a variety of other wells, and showed only a small decrease in accuracy of identiication. Geologists class...

The effects of groundwater flow and biodegradation on the long-distance migration of petroleum-derived benzene in oil-bearing sedimentary basins are evaluated. Using an idealized basin representation, a coupled groundwater flow and heat transfer model computes the hydraulic head, stream function, and temperature in the basin. A coupled mass transport model simulates water washing of benzene fro...

Public concerns about oil and natural gas extraction these days inevitably turn to hydraulic fracturing, where millions of gallons of water, sand, and chemicals are pumped underground at high pressures to crack open rocks. Hydraulic fracturing often occurs a mile or more down, far from the water we drink or the air we breathe. The focus for safety and environmental stewardship should often be s...

This report examines the potential of polymer flooding to recover viscous oils, especially in reservoirs that preclude the application of thermal methods. A reconsideration of EOR screening criteria revealed that higher oil prices, modest polymer prices, increased use of horizontal wells, and controlled injection above the formation parting pressure all help considerably to extend the applicabi...

Using a model-based optimization, a neural network model is used to compute the optimal values of gas injection rate and oil rate of a gas lift production system. Two cases are analyzed: a) A single well production system and b) A production system composed by two gas lifted wells. For both cases minimizing the objective function of the proposed strategy shows the ability of the neural networks...