Modelaje de producción
School of Engineering COURSEWORK SUBMISSION SHEET
All sections except the “LATE DATE” section must be completed and the declaration signed, for the submission to be accepted. Any request for a coursework extension must be submitted on the appropriate form (please refer to http://www.rgu.ac.uk/academicaffairs/assessment/page.cfm?pge=36332 ), prior tothe due date.
Due Date 10/04/2009
Date Submitted 10/04/2009
For official use only LATE DATE
MATRIC No.0616603 SURNAME Albarracin FIRST NAME(S) Ruben COURSE & STAGE
Eg MSc Oil & Gas Engineering MSc Drilling & Well Engineering MSc Petroleum Production Engineering
MODULE NUMBER & TITLE ASSIGNMENT TITLE LECTURER ISSUING COURSEWORK
Production Modelling Coursework Alastair Baillie
Iconfirm: (a) That the work undertaken for this assignment is entirely my own and that I have not made use of any unauthorised assistance. (b) That the sources of all reference material have been properly acknowledged.
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……………………….....................................Date 10/04/2009..............................
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RUBEN ALBARRACIN (0616603)
Production Modelling Module (PDVSA-2008)
Executive summary The aim of this report is to develop a conceptual field development proposal for a new field in the North Sea. The field has 250 ft deep and is located 5 kilometres from the nearest host facilities. This proposal is anintegrated approach, which covers from the reservoir up to the separator and it includes reservoir model, well model, production profiles and pipeline specification. Additionally the proposal considers some constraints in platform capacity and government regulations. To achieve this integrated approach three applications were used, which are MBAL, PROSPER and GAP. Each of these applications isrelated with one of the components of the field. The MBAL was used to calculate the STOOIP and generate the reservoir model. In PROSPER were modelled the production and injection wells. Finally in GAP were imported the reservoir and well models and the field was simulated. The GAP is able to generate production profiles, depletion behaviour, fluids replacement, flowing pressures/temperatures, and nodepressures/temperatures. The application calculates these parameters according to the number and type of wells, pipelines, and any production constraint generating an optimised allocation of the production in the field. Based in this capacity of GAP, several scenarios were simulated for the field in order to determine an exploitation scheme that allows obtaining the maximum recovery factor from thereservoir and revenue from the field. The report is divided in three sections; first is presented the conclusions of the study, second are made some recommendations for the field and finally are presented the calculations, methodology and result discussion remarking all parameters that were assumed.
RUBEN ALBARRACIN (0616603)
Production Modelling Module (PDVSA-2008)
Conclusions • TheSTOOIP of the field can vary between 62.468 MMstb and 116.228 MMstb, for the field
proposal was used 85.105 MMstb, which corresponds to 50 % of probability. These values were calculated using Montecarlo simulation in MBAL. In the reservoir model, the outer to inner ratio between the aquifer and reservoir is 10. • The productivity index was calculated using Darcy equation. The PI is 9.84 stb/psi andthe
absolute open flow (AOF) is 21,306 stbd. • A tubing of 5” (4.408”ID) was selected for the well. Vertical multiphase flow was simulated
using PETEX 2 correlation. • The artificial lift method selected is ESP. This selection is based in production rates,
feasibility and economic factors. The pump for the well type is a Centrilift KC 16000 with a motor Centrilift 562 660 HP, 95 stages,...
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