Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Field-Scale Analysis of Heavy-Oil Recovery by Electrical Heating
Date
2010-02-01
Author
Hascakir, B.
Babadagli, T.
Akın, Serhat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
171
views
0
downloads
Cite This
Electrical heating for heavy-oil recovery is not a new idea, but the commercialization and wider application of this technique require detailed analyses to determine optimal application conditions. In this study, applicability of electrical heating for heavy-oil recovery from two heavy-oil fields in Turkey (Bali Raman and Camurlu) was tested numerically. The physical and chemical properties of the oil samples for the two fields were compiled, and in-situ viscosity reduction during the heating process was measured with and without using iron powder. Iron powder addition to oil samples causes a decrease in the polar components (such as carboxylic and phenolic acids) of oil, and the viscosity of oil can be reduced significantly because of the magnetic fields created by iron powders. Three different iron-powder types at three different doses were tested to observe their impact on oil recovery. Experimental observations showed that viscosity reductions were accomplished at 88 and 63% for Bati Raman and Camurlu crude oils, respectively, after 0.5% iron (Fe) addition, which was determined as the optimum type and dose for both crude-oil samples. Next, field-scale recovery was tested numerically using the viscosity values obtained from the laboratory experiments and physical and chemical properties of the oil fields compiled from the literature. The power of the system, operation period, and the number of heaters were optimized. Economic evaluation performed only on the basis of the electricity cost using the field-scale numerical modeling study showed that the production of I bbl petroleum costs approximately USD 5, and at the end of 70 days, 320 bbl of petroleum can be produced. When 0.5% Fe is added, oil production increased to 440 bbl for the same operational time period.
Subject Keywords
Fuel Technology
,
Energy Engineering and Power Technology
,
Geology
URI
https://hdl.handle.net/11511/48483
Journal
SPE RESERVOIR EVALUATION & ENGINEERING
DOI
https://doi.org/10.2118/117669-pa
Collections
Department of Petroleum and Natural Gas Engineering, Article
Suggestions
OpenMETU
Core
Modeling of underground gas storage in a depleted gas field
Gumrah, F; Izgec, O; Gokcesu, U; Bağcı, Ali Suat (Informa UK Limited, 2005-07-15)
It is possible to predict the behavior of fluids in permeable and porous medium under different operating conditions by using reservoir models. Since geological data and reservoir properties can be defined most accurately by reservoir models, it has been accepted as a reliable prediction tool among reservoir engineers. In this study, a gas reservoir has been modeled with IMEX Module of CMG Reservoir Simulator. Rock properties, gas composition and certain production data were entered to the model as input da...
Analytical investigation of wet combustion process for heavy oil recovery
Bağcı, Ali Suat (Informa UK Limited, 2004-12-01)
Analysis of combustion tube data produced from experiments performed under realistic reservoir conditions is currently the most valid method of investigating in-situ combustion process. In this study, the optimization of water-air ratio for B. Kozluca heavy crude oil, and the comparison of the performance of dry and wet forward combustion processes were studied. An analytical model was used to extend the laboratory results so that the oil production and steam zone volume can be estimated under field conditi...
Experimental and numerical modeling of heavy-oil recovery by electrical heating
Hascakir, B.; Babadagli, T.; Akın, Serhat (Society of Petroleum Engineers; 2008-12-01)
Electrical heating for heavy-oil recovery is not a new idea but commercialization and wider application of this technique require detailed analyses for determination of optimal application conditions. In this study, applicability of electrical heating for heavy-oil recovery from two heavy-oil fields in Turkey (Bati Raman and Camurlu) was tested experimentally and numerically. The physical and chemical properties of the oil samples for the two fields were compiled and measured. Then, core samples were expose...
Integrated analysis of pressure response using pressure-rate convolution and deconvolution techniques for varied flow rate production in fractured formations
Al-Rbeawi, Salam (Elsevier BV, 2018-03-01)
This paper introduces an integrated analysis for pressure transient behavior of conventional and unconventional multi-porous media reservoirs considering varied flow rate conditions. It focuses on the applications of pressure-rate convolution and deconvolution techniques for analyzing pressure records of homogenous single porous media, double porous media, and triple porous media reservoirs. The tasks covered in this paper are: Deconvloving pressure response, characterizing and developing analytical models ...
Pseudo-steady state inflow performance relationship of reservoirs undergoing multiphase flow and different wellbore conditions
Al-Rbeawi, Salam (Elsevier BV, 2019-08-01)
This paper introduces an integrated approach for the inflow performance relationship of reservoirs that undergo multiphase flow conditions and drained by vertical wells with different wellbore conditions. The main objective is eliminating uncertainties that govern predicting reservoir performance by assuming single phase flow in the porous media. The proposed approach includes developing several models for multiphase flow conditions using PVT data and relative permeability curves. These models are assembled...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Hascakir, T. Babadagli, and S. Akın, “Field-Scale Analysis of Heavy-Oil Recovery by Electrical Heating,”
SPE RESERVOIR EVALUATION & ENGINEERING
, pp. 131–142, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48483.