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Venezuela’s Heavy-Oil Belt: Monitoring Exploration and Production-Related Land Cover Changes Chris W. Baynard Dept of Geography, UF Dept of World Languages, UNF Society of Petroleum Engineers

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  • Venezuela’s Heavy-Oil Belt: Monitoring Exploration and Production-Related Land

    Cover Changes

    Chris W. BaynardDept of Geography, UF

    Dept of World Languages, UNFSociety of Petroleum Engineers

  • Introduction• “One look at the largest corporations in the world and a

    single conclusion jumps out: Natural resources are driving the global economy as never before.” (Lustgarten 2006)

    • The extraction of natural resources produces marked impacts on the landscape.

    • Most LULCC studies--deforestation in tropical regions - Main drivers agriculture and logging- Common thread: roads (Lele et al. 2000, Espírito-Santo et al. 2005, Bevilacqua et al. 2002, Faminow and Vosti 1998, Ferraz et al. 2006)

    • Nonrenewables: Petroleum E&P also causes changes to land cover, but some practices create less disturbance than others (lack of attention in LULCC literature).(Almeida-Filho and Shimabukuru 2002)

  • Venezuela’s Heavy Oil Belt– Different companies

    • 1 state company (PDVSA)• 3 European and 3 US MNOCs

    – 4 strategic associations– Different political and economic incentives

    • Populism vs. capitalism– Different E&P practices

    • Business model (value added product–different API)

    • Financial, HSE, CSR, sustainable development– Result in different petroscapes (hypothesis)

  • Research Question• Will associations with a greater state

    involvement exhibit a greater petroscapeexpansion?

    • Why?– Energy policy– Different ideology– Political alliances– Business practices

    and culture – Monitoring schemes

  • Objectives• Determine which associations showed the

    greatest and least reduction in natural vegetation tied to petroscape growth between 1990 and 2005 (pre, during, full)–using remote sensing and GIS techniques.

    • Investigate political and economic incentives behind different behaviors.

    • Estimate future development impacts.

  • Location

  • Research Site• Landscape:

    – Dry tropical savanna, warm, marked wet/dry season• Economic activities:

    – Small scale fishing and agriculture– Large scale farming and cattle ranching– Pine plantations– Petroleum E&P

    (Chacón-Moreno 2004, Carbón & Schubert 1994,Rivas et al. 2004, Dumith 2004)

  • Heavy Oil Belt54,000 km²

    1.23 trillion barrels250 billion recoverable

  • HOB Business ModelExtract and convert unconventional crude into a value added product--syncrude

    • Extract heavy crude via cold production• Add a diluent at well head• Initial processing (degass, dewater, desalt)• Pipeline to coast• Upgrade• Sell open market, further refine offshore(Total 2005, Guerra 2005)

  • Energy Policy• Increase production to 5 million b/d• Increase state control (telecom, electricity, oil)• Raise tax rates and royalties• Create alliances with state companies (governments)• Diversify clients–US Asia • Increase heavy oil belt production• Fund infrastructure and social programs• Consolidate power, military buildup• Certify nonconventional oil deposits (HOB)–surpass

    Saudi Arabia(PDVSA 2005-2007)

  • Theoretical Framework• Political Ecology

    – The political economy of environmental change (Bryant and Bailey 1997)

    – The study of the interaction between socioeconomic behavior and the natural environment (Rubenstein 2004)

    – People’s response to economic opportunities,filtered by political and market institutions, drives land use land cover change (Lambin et al. 2001)

  • Political EcologyThree Assumptions:

    1. The environment is politicized and the economy is embedded in the environment.

    2. Economic and political incentives drive human behavior in relation to environmental use, access, exclusion and degradation.

    3. Solutions to environmental problems are policy issues that must be carefully configured, legislated and enforced.

    (Bryant and Bailey 1997; Diamond 2003, 2005; Lambin et al. 2001; Musinsky et al. 1998; Schneider and Dyer 2006; Little 2001; Morhardt 2002)

  • Methods: Remote Sensing and GISAim: low-cost, readily available imagery• Image Selection: 3/4 Associations• Rectify• Find HOB and Associations• Change Detection Dataset

    – Landsat TM and ETM+: Apr 19 1990, Apr 30 2000 (p01 r054)

    – CBERS CCD2: 2005 (mosaic Feb 20 p180 r90, Jan 25 p180 r91)

    • Subset Images • Mask Clouds• NDVI• Image Differencing• Set Thresholds-Truncate Other Values, Measure Change• Overlay 2005 Vector Data• Measure Road Density(Jensen 2005, Southworth et al. 2004, Scheider and Dyer 2006)

  • HOB Associations

    PDVSA 41.67%Exxon 41.67%BP 16.66%

    PDVSA 30%Conoco 40%Chevron 40%

    PDVSA 49.9%Conoco 50.1%

    PDVSA 38%Total 47%Statoil 15%

    Partners

    Cerro NegroAmerivenPetrozuataSincorProject

    (2005 Petroenergy Map)

  • -25% Highlight Change1990-2000

    Sincor78 km² (15%)

    Petrozuata40 km² (13%)

    Ameriven300 km² (45%)

  • Manual Highlight Change1990-2000(lower threshold)

    Sincor36 km² (7%)

    Petrozuata24 km² (8%)

    Ameriven80 km² (12%)

  • 2005 Petroscape/Infrastructure 300m buffer

    Sincor Petrozuata

    Ameriven

  • -25% Highlight Change 1990-2000

    with 2005 Petroscape/Infrastructure

    Sincor Petrozuata

    Ameriven

  • -25% Highlight Change1990-2000

    Control 02230 km² (40%)

    Control 07293 km² ( 51%)

    Control 04207 km² (36%)

    Control Groups

  • 25% Highlight Change (1990-2000)

    with 2005 Petroscape/Infrastructure

    Control 02Control 04

    Control 07

    Control Groups

  • Conclusion

    • Associations – Agriculture: central driver of LULCC

    • Ameriven and Control Group 07– Petroscape:

    • Main driver of LULCC in Sincor and Petrozuata• Secondary driver in Ameriven and Control Group 07• Landscape affected: Sincor 78km² (15%)

    vs. Petrozuata 40 km² (13%)• Road density (k/km²): Sincor 4.68, Petrozuata 4.22,

    Control 07 2.05 (7.86)

  • Implications• Global oil demand Supplies • Plans to increase HOB oil production:

    – 27 new blocks by 2030– Certify and quantify HOB reserves with state companies

    • Venezuela Reserves OPEC

    – E & P has already begun– Methods useful for baseline & subsequent E&P– Uncover companies with best practices– Monitor upcoming land conversion: 2,106 km²

    (813 sq miles ~ Jax)(PDVSA, Janks and Prelat 1994, Musinsky et al. 1998)

  • Future Work

    • Cerro Negro–better images, incorporate into current study

    • Start baseline studies for upcoming 27 blocks

    • Compare E&P patterns in the first of these 27 blocks

  • Acknowledgments• Society of Petroleum Engineers• UNF: Dr. David Lambert, Robert Richardson• UF: Drs. Michael Binford, Jane Southworth, Tim Fik; Matt Marsik• INPE: María Madalena Godoy Mello• ExxonMobil Venezuela/Operadora Cerro Negro: Carlos Guerra,

    Rómulo Medina• PDVSA• Chevron Venezuela• Total• Shell Venezuela• BP Venezuela• ConocoPhillips USA• Instituto Geográfico de Venezuela Simón Bolívar: Alicia Moreau,

    Deud Dumith, José Acosta• SPE: Mark Shemaria and Tom Knode

  • References• Almeida-Filho, R. and Y Shimabukuro. 2002. Digital image processing of a Landsat TM time series for mapping and monitoring degraded areas caused by independent

    gold miners Roraima State, Brazilian Amazon. Remote Sensing of the Environment. 79. (1) 42-50.• Bevilacqua, M. et al. 2002. The State of Venezuela’s Forests: A Case Study of the Guayana Region. Global Forest Watch. • Bryant, R. L., and Bailey, S. 1997. Third World Political Ecology. London: Routledge.• Carbón, J. and C. Schubert. 1994. Late Cenozoic history of the eastern llanos of Venezuela: geomorphology and stratigraphy of the Mesa Formation. Quaternary

    International. 21. 91-100.• Chacón-Moreno, E. J. 2004. Mapping savanna ecosystems of the llanos del Orinoco using multitemporal NOAA satellite imagery. International Journal of Applied

    Observation and Geoinformation. 5. • Dalle, S. P. et al. 2006. Integrating analyses of land-use regulations, cultural perceptions and land-use/land-cover data for assessing the success of community-based

    conservation. Forest Ecology and Management. 222. 370-383.• Diamond, J. 2005. Collapse: How Societies Choose to Fail or Succeed. New York: Viking.• --- 2003. The Last Americans: Environmental Collapse and the End of Civilization. Harper’s Magazine (June) 43.• Dumith, D. 2004. Instituto Geográfico de Venezuela Simón Bolívar, personal communication. • Espírito-Santo, F. D. B. et al. 2005. Mapping forest successional stages following deforestation in Brazilian Amazonia using multi-temporal Landsat images. International

    Journal of Remote Sensing. 26(3). 635-642.• Faminow, M.D. and Vosti, S.A. 1998. Livestock-deforestation links: Policy issues in the western Brazilian Amazon. FAO. Rome.

    http://www.fao.org/wairdocs/lead/x6139e/x6139e00.htm• Ferraz, S. F. B. et al. 2006. Temporal scale and spatial resolution effects on Amazon forest fragmentation assessment in Rondônia. International Journal of Remote

    Sensing. 27(3). 459-472.• Guerra, C. V. 2005. Public Affairs and Government Relations, Operadora Cerro Negro, S. A. Personal communication. • Janks, J.S. and A.E. Prelat. 1994. Environmental impact assessment using remote sensing technology: methodology and case studies. Society of Petroleum Engineers.

    27121.• Jensen, J. R. 2005. Introductory Digital Image Processing: A Remote Sensing Technique. 3rd ed. Upper Saddle River, NJ: Pearson Prentice Hall Inc. • Lambin, E. F. et al. 2001. The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change. 11. 261-269.• Lele, U. et al. 2000. Forests in the balance: challenges of conservation with development, an evaluation of Brazil’s forest development and world bank assistance. World

    Bank Operations Evaluation Department. http://wbln0018.worldbank.org/essd/forestpol-e.nsf/0/6dccf450403227538525686d005a7c86/$FILE/brazil.pdf• Little, P. 2001. Amazonia : Territorial Struggles on Perennial Frontiers. Baltimore: Johns Hopkins University Press.• Morhardt, J. E. 2002. Clean, Green, and Read All Over: Ten Rules for Effective Corporate Environmental and Sustainability Reporting. Milwaukee: ASQ Quality Press.• Musinsky, J. N. et al. 1998. An analysis of human settlement along the Xan oil road in Laguna del Tigre National Park, Guatemala. Society of Petroleum Engineers.

    46824.• Total. Oil Company Executive. 2005. Personal communication.• PDVSA. 2007. PDVSA y Petropars iniciaron perforación en el Bloque Ayacucho 7 de la Faja Petrolífera del Orinoco. http://www.pdvsa.com• --- 2006. Aspiramos que Ecuador esté pronto en la Faja Petrolífera del Orinoco. 20 Dec. http://www.pdvsa.com• --- 2005a. Faja Petrolífera del Orinoco. http://www.pdvsa.com/interface.sp/database/fichero/doc/570/9.PDF• --- 2005b. ¿Qué es la Faja Petrolífera del Orinoco? (19 Aug). http://www.pdvsa.com• --- 2005c. Exploración y Producción elevará producción a más 5 millones 800 mil barriles. 19 Aug. http://www.pdvsa.com/• --- 2005d. Proyecto Magna Reserva. 26 Aug. http://www.pdvsa.com/• --- 2005e. Fase II del Proyecto Magna Reservea arrancará en breve. 31 Mar. http://www.pdvsa.com/• --- 2005f. Proyecto Orinoco. http://www.pdvsa.com/• Rivas, J. A. et al. 2002. The llanos. In: Mittermeier, R.A. (ed.) Wildernesses. CEMEX, Mexico. 265-273.• Rubenstein, S. L. 2004. Steps to a political ecology of Amazonia. Tipití. 2(2). 131-176.• Schneider, R. and S. Dyer. 2006. Death by a thousand cuts: Impacts of in situ oil sands development on Alberta’s boreal forest. Canadian Parks and Wilderness Society

    and The Pembina Institute. http://www.pembina.org/pdf/publications/1000-cuts.pdf• Southworth, J. et al. 2004. Land coverLand-cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras

    region. Agriculture, Ecosystems and the Environment. 101. 185-205.

  • Questions?

  • END