Estimation of Petrophysical Properties Using the Well Logs and Core Analysis Data in Oil Sand Reservoir, Leismer Field, Canada

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2011 Vol.48, Issue 2 Preview Page Next Page

Estimation of Petrophysical Properties Using the Well Logs and Core Analysis Data in Oil Sand Reservoir, Leismer Field, Canada 물리검층 및 코어분석 자료를 이용한 캐나다 Leismer Field 오일샌드 저류층 물성 추정 연구: 이동건, 임종세
Dong-Gun Lee and Jong-Se Lim

30 April 2011. pp. 199-210

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Abstract

This study suggests various methods to estimate porosity, horizontal/vertical permeability, bitumen saturation and electrofacies of oil sand reservoir, Leismer field, Canada using well logs and core analysis data. Density log data, multiple regression and artificial neural network method are used for porosity estimation. Horizontal/vertical permeability is estimated using relationship between core porosity and core permeability, multiple regression and artificial neural network method. Bitumen saturation is estimated using Indonesia model, modified Simandoux model and artificial neural network model. All of the estimated properties are the most consistent with core analysis data when artificial neural network method is applied. Fuzzy cluster analysis is carried out determine electrofacies. The distinction of shale, shaly sand, and bitumen-bearing sandstone turns out to be possible from electrofacies results.

Keywords

Oil sand

Porosity

Horizontal/Vertical permeability

Bitumen saturation

Electrofacies

이 연구에서는 오일샌드 저류층에서 코어를 취득한 시추공의 물리검층과 코어분석 자료를 이용하여 코어 미회수 구간의 저류층 주요 물성을 추정하고 암석물리학상을 결정하는데 적합한 기법을 제시하고, 각 방법들을 캐나다 Leismer field 현장자료에 적용하여 추정성능을 비교하였다. 공극률 추정을 위해 밀도검층 자료법, 다중 회귀분석과 인공신경망 기법을 이용하였다. 수평･수직 유체투과도의 경우 코어분석에서 얻은 공극률과 유체투과도 간의 상관관계를 이용하였고 다중 회귀분석과 인공신경망 기법을 이용하여 추정한 결과를 비교하였다. 비투멘포화율은 Indonesia 모델, 수정된 Simandoux 모델, 인공신경망 모델로 추정하였다. 공극률, 수평･수직 유체투과도, 비투멘포화율 모두 인공신경망 기법을 적용할 때 코어분석 결과와 가장 잘 일치하였다. 암석물리학상 추정을 위해 퍼지 군집분석을 수행하였고 이를 통해 셰일층, 셰일성 사암층, 비투멘을 함유한 사암층 판별이 가능하였다.

키워드

오일샌드

공극률

수평･수직 유체투과도

비투멘포화율

암석물리학상

References

서광원, 임종세, 김세준, 2010, “지능형 기법을 이용한 암석 물리학상 결정을 위한 사용자 친화적 소프트웨어 개발,” 한국지구시스템공학회지, 제47권, 1호, pp. 91-98.
유현종, 임종세, 김세준, 2009, “퍼지군집분석을 이용한 암석 물리학상 추정 연구,” 한국지구시스템공학회지, 제46권, 4호, pp. 424-430.
임종세, 김정환, 강주명, 1998, “다변량 통계기법을 이용한 물리검층 자료로부터의 암석물리학상 결정,” 한국지구물리물리탐사학회지, 제1권, 3호, pp. 170-175.
임종세, 2003, “인공신경망 해석 기법을 이용한 저류층 유체투과율 결정,” 한국지구시스템공학회지, 제40권, 4호, pp. 232-238.
한국지질자원연구원, 2008, 조석기원 오일샌드 저류층 지질형성 특성연구, 지식경제부, NP2007-002-2008(2).
AEUB (Alberta Energy and Utilities Board), 2007, Alberta’s Energy Reserves 2006 and Supply/Demand Outlook 2007-2016, ST98-2007.
Collins, H.N., 1976, “Log-Core Correlations in the Athabasca Oil Sands,” Journal of Petroleum Technology, Vol. 28, No. 10, pp. 1157-1168.
Core Laboratories, 2010.09.01, http://corelab.com Donnelly, J.K. and Hitchner, J., 2002, “Determining Oil Sand Reservoir Properties from Logs and Core – Thee Controversy Continues,” paper SPE 79034 presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 4-7.
Fetzner, R.W., Henson, W.L. and Feigl, F.J., 1966, “Athabasca Oil Sand Evaluation using Core and Log Analysis and Geological Data Processing Methods,” SPWLA 7th Annual Logging Symposium, Houston, Texas, U.S.A., January 1.
Fustic, M., 2006, “Reservoir and Bitumen Heterogeneity in Athabasca Oil Sands,” presented at CSPG/CSEG/CWLS Joint Conference held in Calgary, Alberta, Canada, May 15-18.
Jeong, C., Kang, J.M. and Park, C., 2009, “Permeability Prediction using Electrofacies and Fuzzy Model in a Heterogeneous Reservoir,” presented at IAMG 2009 held in Stanford Univ., California, U.S.A., August 23-28.
Lee, M.W. and Collet, T.S., 2006, “A method of shaly sand correction for estimating gas hydrate saturations using downhole electrical resistivity log data,” U.S. Geological Survey, Scientific Investigations Report 2006-5121.
Lim, J.-S., Kang, J.M. and Kim, J., 1997, “Multivariate Statistical Analysis for Automatic Electrofacies Determination with Well Log Measurements,” paper SPE 38028 presented at SPE Asia Pacific Oil & Gas Conference and Exhibition, Kuala Lumpur, Malaysia, April 14-16.
Lim, J.-S. and Kim, J., 2004, “Reservoir Porosity and Permeability Estimation from Well Logs Using Fuzzy Logic and Neural Networks,” paper SPE 88476 presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition held in Perth, Australia, October 18-20.
Mathison, J.E., Mireault, R.A., Wilhelm, J.K., Alwast, N.K. and Williams, S.K., 2005, “Reservoir Characterization of the Wabiskaw B in the Kirby Area, Alberta, Canada,” paper SPE 97926 presented at the SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 1-3.
Mohaghegh, S., 2000, “Virtual-Intelligence Applications in Petroleum Engineering : Part 3 - Fuzzy Logic,” Journal of Petroleum Technology, Vol. 52, No. 11, pp. 82-87.
Takahashi, A. and Torigoe, T., 2008, “Oil Sands Reservoir Characterization in Athabasca, Canada,” International Petroleum Technology Conference, Kuala Lumpur, Malaysia, December 3-5.
Woodhouse, R., 1976, “Athabasca Tar Sand Reservoir Properties Derived from Cores and Logs,” SPWLA 17th Annual Logging Symposium, Denver, U.S.A., June 9-12.
Woodhouse, R. and Warner, H.R., 2005, “Sw and Hydrocarbon Pore Volume Estimates in Shaly Sands – Routine Oil Based Mud Core Measurements Compared with Several Log Analysis Models,” paper SPE 96618 presented at the SPE Annual Technical Conference and Exhibition held in Dallas, Texas, U.S.A., October 9-12.
Xu, Y. and Chopra, S., 2009, “Mapping Lithological Heterogeneity in Athabasca Oil Sand Reservoirs using Surface Seismic Data: Case History,” presented at CSPG/CSEG/ CWLS Joint Conference held in Calgary, Alberta, Canada, May 4-8.
Zhang, J.J. and Bentley, L.R., 2004, “Reservoir Characterization in Leming Lake, Cold Lake, Alberta,” CSEG National Convention, Calgary, Canada, May 11-13.

Information

Publisher :The Korean Society of Mineral and Energy Resources Engineers
Publisher(Ko) :한국자원공학회
Journal Title :Journal of the Korean Society for Geosystem Engineering
Journal Title(Ko) :한국지구시스템공학회지
Volume : 48
No :2
Pages :199-210

[1] 서광원, 임종세, 김세준, 2010, “지능형 기법을 이용한 암석 물리학상 결정을 위한 사용자 친화적 소프트웨어 개발,” 한국지구시스템공학회지, 제47권, 1호, pp. 91-98.

[2] 유현종, 임종세, 김세준, 2009, “퍼지군집분석을 이용한 암석 물리학상 추정 연구,” 한국지구시스템공학회지, 제46권, 4호, pp. 424-430.

[3] 임종세, 김정환, 강주명, 1998, “다변량 통계기법을 이용한 물리검층 자료로부터의 암석물리학상 결정,” 한국지구물리물리탐사학회지, 제1권, 3호, pp. 170-175.

[4] 임종세, 2003, “인공신경망 해석 기법을 이용한 저류층 유체투과율 결정,” 한국지구시스템공학회지, 제40권, 4호, pp. 232-238.

[5] 한국지질자원연구원, 2008, 조석기원 오일샌드 저류층 지질형성 특성연구, 지식경제부, NP2007-002-2008(2).

[6] AEUB (Alberta Energy and Utilities Board), 2007, Alberta’s Energy Reserves 2006 and Supply/Demand Outlook 2007-2016, ST98-2007.

[7] Collins, H.N., 1976, “Log-Core Correlations in the Athabasca Oil Sands,” Journal of Petroleum Technology, Vol. 28, No. 10, pp. 1157-1168.

[8] Core Laboratories, 2010.09.01, http://corelab.com Donnelly, J.K. and Hitchner, J., 2002, “Determining Oil Sand Reservoir Properties from Logs and Core – Thee Controversy Continues,” paper SPE 79034 presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 4-7.

[9] Fetzner, R.W., Henson, W.L. and Feigl, F.J., 1966, “Athabasca Oil Sand Evaluation using Core and Log Analysis and Geological Data Processing Methods,” SPWLA 7th Annual Logging Symposium, Houston, Texas, U.S.A., January 1.

[10] Fustic, M., 2006, “Reservoir and Bitumen Heterogeneity in Athabasca Oil Sands,” presented at CSPG/CSEG/CWLS Joint Conference held in Calgary, Alberta, Canada, May 15-18.

[11] Jeong, C., Kang, J.M. and Park, C., 2009, “Permeability Prediction using Electrofacies and Fuzzy Model in a Heterogeneous Reservoir,” presented at IAMG 2009 held in Stanford Univ., California, U.S.A., August 23-28.

[12] Lee, M.W. and Collet, T.S., 2006, “A method of shaly sand correction for estimating gas hydrate saturations using downhole electrical resistivity log data,” U.S. Geological Survey, Scientific Investigations Report 2006-5121.

[13] Lim, J.-S., Kang, J.M. and Kim, J., 1997, “Multivariate Statistical Analysis for Automatic Electrofacies Determination with Well Log Measurements,” paper SPE 38028 presented at SPE Asia Pacific Oil & Gas Conference and Exhibition, Kuala Lumpur, Malaysia, April 14-16.

[14] Lim, J.-S. and Kim, J., 2004, “Reservoir Porosity and Permeability Estimation from Well Logs Using Fuzzy Logic and Neural Networks,” paper SPE 88476 presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition held in Perth, Australia, October 18-20.

[15] Mathison, J.E., Mireault, R.A., Wilhelm, J.K., Alwast, N.K. and Williams, S.K., 2005, “Reservoir Characterization of the Wabiskaw B in the Kirby Area, Alberta, Canada,” paper SPE 97926 presented at the SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 1-3.

[16] Mohaghegh, S., 2000, “Virtual-Intelligence Applications in Petroleum Engineering : Part 3 - Fuzzy Logic,” Journal of Petroleum Technology, Vol. 52, No. 11, pp. 82-87.

[17] Takahashi, A. and Torigoe, T., 2008, “Oil Sands Reservoir Characterization in Athabasca, Canada,” International Petroleum Technology Conference, Kuala Lumpur, Malaysia, December 3-5.

[18] Woodhouse, R., 1976, “Athabasca Tar Sand Reservoir Properties Derived from Cores and Logs,” SPWLA 17th Annual Logging Symposium, Denver, U.S.A., June 9-12.

[19] Woodhouse, R. and Warner, H.R., 2005, “Sw and Hydrocarbon Pore Volume Estimates in Shaly Sands – Routine Oil Based Mud Core Measurements Compared with Several Log Analysis Models,” paper SPE 96618 presented at the SPE Annual Technical Conference and Exhibition held in Dallas, Texas, U.S.A., October 9-12.

[20] Xu, Y. and Chopra, S., 2009, “Mapping Lithological Heterogeneity in Athabasca Oil Sand Reservoirs using Surface Seismic Data: Case History,” presented at CSPG/CSEG/ CWLS Joint Conference held in Calgary, Alberta, Canada, May 4-8.

[21] Zhang, J.J. and Bentley, L.R., 2004, “Reservoir Characterization in Leming Lake, Cold Lake, Alberta,” CSEG National Convention, Calgary, Canada, May 11-13.

Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

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