There are some alternatives of artificial lift methods to increase the production of oil well or to keep it producing. Sucker rod pumping (SRP) and electrical submersible pumping (ESP) systems are selected for the design and economical evaluation of thirteen oil wells of R field. Although selected wells are already producing artificially, they are redesigned for SRP and ESP. LoadCalC software developed by Lufkin and SubPUMP developed by DSSC are used for SRP and ESP designs respectively. For economic evaluation, the rate of return (ROR) of each design is calculated for ten year period. In technical comparison, advantage of higher production ability with lower power consumption was observed in ESP applications. In wells which have lower production than 100 bpd, SRP takes the advantage as it has the ability of low volume lifting. In economical comparison it was observed that using both methods together was given better result. By increasing the number of wells that were applied ESP, 3.61% of increment in ROR was obtained relative to the present status.

During the reservoir production life reservoir pressure will decline. Also after water breakthrough the fluid column weight will increase as hydrostatic pressure will increase because of increased water and oil mixture density. In this case, reservoir pressure may not be enough to lift up the fluid from bottom to the surface. These reasons decrease or even may cause to stop flowing of fluids from the well. Some techniques must be applied to prevent the production decline. Artificial lift techniques are applied to add energy to the produced fluids. It increases production rate by reducing down-hole pressure and so that by increasing the drawdown. Artificial lift techniques increase production either by pumping the produced fluid from the bottom to the surface or reduce bottom-hole pressure by reducing the fluid column weight as a result of decreased fluid mixture density. Artificial lift is used worldwide in approximately 85% of the wells, thus its impact in overall efficiency and profitability of production operations cannot be overemphasized. The most important problem is how to select optimum artificial lift techniques by taking into consideration the reservoir, well, environmental conditions. Selection of poor technique could cause decrease in efficiency and low profitability. As a result, it will lead to high operating expenses. Several techniques have been developed for selection of optimum artificial lift techniques. Expert Systems (ES) is the most suitable technique used in these selection techniques. Because the use and availability of required parameters is easy. Also in this selection method most of the artificial lift techniques are analyzed rather than other selection techniques. Expert Systems program mainly consist of three modules: (1) Expert Module, (2) Design Module, and (3) Economic Module. By entering required data to the system, program automatically suggests the feasible artificial lift techniques those might be used referring to given data. In this thesis work the artificial lift selection criteria and Expert Systems available in the literature have been studied. A Microsoft Windows based program has been developed to predict suitability of artificial lift methods for a given set of wells and produced fluid parameters. For the selected artificial lift method (i.e. sucker rod pump, ESP, gas lift, hydraulic pump, PCP) the program is able to perform basic calculations for the given data. Different case studies have been performed by running the program with actual data from fields. Well data of Venezuela, Azerbaijan and Iranian oil fields has been used in case studies. The results have been compared with previous studies those have been done on these fields with other selection techniques and current artificial lift techniques are being applied in selected wells. The obtained program results have been overlap with current real field application and previous studies.

Made available in DSpace on 2014-12-17T14:08:33Z (GMT). No. of bitstreams: 1 HeitorPG.pdf: 2527761 bytes, checksum: 19f772cea6bcb648ba6562ac9a4eeffd (MD5) Previous issue date: 2009-06-26 / The artificial lifting of oil is needed when the pressure of the reservoir is not high enough so that the fluid contained in it can reach the surface spontaneously. Thus the increase in energy supplies artificial or additional fluid integral to the well to come to the surface. The rod pump is the artificial lift method most used in the world and the dynamometer card (surface and down-hole) is the best tool for the analysis of a well equipped with such method. A computational method using Artificial Neural Networks MLP was and developed using pre-established patterns, based on its geometry, the downhole card are used for training the network and then the network provides the knowledge for classification of new cards, allows the fails diagnose in the system and operation conditions of the lifting system. These routines could be integrated to a supervisory system that collects the cards to be analyzed / A necessidade da eleva??o artificial de petr?leo se d? quando a press?o do reservat?rio n?o ? suficientemente elevada para que os fluidos nele contidos possam alcan?ar a superf?cie espontaneamente. Assim a eleva??o artificial fornece energia de forma suplementar ou integral aos fluidos do po?o para que cheguem ? superf?cie. O Bombeio mec?nico com hastes ? o m?todo de eleva??o artificial mais utilizado no mundo e a Carta Dinamom?trica (de superf?cie e de fundo) ? a melhor ferramenta de an?lise de um po?o equipado com esse tipo de m?todo de eleva??o.Um Sistema que utiliza Redes Neurais Artificiais MLP foi desenvolvido e usando padr?es pr?-estabelecidos, baseadas em sua geometria, as cartas de fundo dos po?os s?o utilizadas para o treinamento da rede e posteriormente essa rede disponibiliza o conhecimento adquirido para a classifica??o de novas cartas, permitindo o diagn?stico de poss?veis falhas no sistema de bombeio e das condi??es de funcionamento desse sistema de eleva??o. Essas rotinas podem ser integradas a um Sistema Supervis?rio que coleta as cartas a serem analisadas. Palavras-chave: Automa??o industrial, Eleva??o artificial, Bombeio mec?nico, Redes Neurais