Oil Production GHG Emissions Estimator (OPGEE): Model walkthrough and sample results

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Oil Production GHG Emissions Estimator (OPGEE): Model walkthrough and sample results Hassan M. El-Houjeiri Adam R. Brandt Department of Energy Resources Engineering Stanford University March 19 th , 2012

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Oil Production GHG Emissions Estimator (OPGEE): Model walkthrough and sample results. Hassan M. El- Houjeiri Adam R. Brandt Department of Energy Resources Engineering Stanford University March 19 th , 2012. Topics. OPGEE required data inputs OPGEE walkthrough - PowerPoint PPT Presentation

Transcript of Oil Production GHG Emissions Estimator (OPGEE): Model walkthrough and sample results

Page 1: Oil Production GHG Emissions Estimator (OPGEE):  Model walkthrough and sample results

Oil Production GHG Emissions Estimator (OPGEE):

Model walkthrough and sample results

Hassan M. El-HoujeiriAdam R. Brandt

Department of Energy Resources EngineeringStanford University

March 19th, 2012

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Topics

1. OPGEE required data inputs

2. OPGEE walkthrough1. Front control sheet and outputs

2. Process stage sheets

3. Supplementary sheets

4. Gathering sheets

3. Basic results: a “generic” crude oil

4. Results sensitivity

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1. OPGEE data requirements

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Required data inputs• General field properties

1. Field location2. Field depth3. Reservoir pressure

• Fluid properties4. API gravity of produced fluid5. Associated gas composition

• Production practices6. Production volume7. Gas-to-oil ratio (GOR)8. Water-to-oil ratio (WOR)9. Water injection (Y/N, Q)10. Gas injection (Y/N, Q)11. N2 injection (Y/N, Q)12. Steam injection (Y/N, Q)13. Onsite electricity generation

• Processing practices14. Heater-treater (Y/N)15. Stabilizer (Y/N)16. Flaring volume17. Venting volume

• Transport18. Transport mode19. Distance (on-way) in miles

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2. OPGEE Walkthrough

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Tour session (1)

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Tier 1: User inputs & results sheet

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• Primary user interaction• The main input parameters are entered in this sheet• The total energy consumption is calculated for each process stage• The total GHG emissions is divided into (i) combustion emissions, (ii) VFF

emissions and (iii) credits/debts• The results are presented in tabular and graphical formats and the user is allowed

to bookkeep 5 different model runs and compare the results. An example is shown below.

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Tour session (2)

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Tier 2: Process stage sheets• Process stage sheets are marked in light red. An example is shown below. • Secondary user interaction• Secondary input parameters and choices such as operating pressure, compressor

suction pressure and temperature, percentage of water and gas reinjected, and type of prime mover are refined in these sheets

• Each process stage sheet is composed of two sections: (i) input data section where the user is allowed to enter/change secondary input parameters, and (ii) calculations section where intermediate outputs (e.g. pump BHP, fuel consumption, etc.) are calculated.

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Tour session (3)

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Tier 3: Supplementary sheets

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• Supplementary sheets are marked with light blue and include gas balance, steam injection, drivers, electricity generation, fuel cycles, VFF, emissions factors and fuel specifications. An example is shown below.

• Tertiary user interaction

• Tertiary parameters and choices include crude storage tanks number and specifications, type of steam generation system, flare combustion efficiency, etc.

• This level of interaction is advanced

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Tour session (4)

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Output compilation: Gathering sheets

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• The output sheets of the model are highlighted in light green and include gathering sheets

• Intermediate outputs from process stage sheets are compiled in gathering sheets• The energy consumption compilation sheet compiles the energy consumption with

fuel type and calculates the total energy consumption and energy exports/imports• The GHG emissions compilation sheet converts the energy consumption elements

into GHG emissions using emissions factors

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3. Basic results for a “generic” crude oil

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Defining a generic light-sweet crude oil

• Properties were defined for a “generic light-sweet crude oil”

• Not meant to represent a particular crude

• Field characteristics• Depth = 6000 ft• WOR = 5 bbl/bbl• GOR = 500 scf/bbl• Water injection = All water reinjected• Gas reinjection = All gas reinjected• Steam injection = None• Transport via pipeline = 1500 mi• No heater-treater or stabilizer• Flaring volume is US NOAA data = 45 scf/bbl• Leaks and fugitives via API method = 15% of components are leaky

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Results for generic light-sweet crude

Pipeline – 1500 mi, no tanker

Flaring – USA data

Fluid lifting and reinjection(100% water reinject, 100% gas reinject)

Drilling and land use

Source: OPGEE v. Beta

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4. Results sensitivity

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Variation with flaring

Flaring vol. = 0.05

Flaring vol. = 0.1

Flaring vol. = 0.2

Flaring vol. = 0.4

Flaring vol. = 0.8

Source: OPGEE v. Beta

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Variation with field depth

Source: OPGEE v. Beta

Depth =500

Depth =5000

Depth =9500

Depth =14000

Depth =18500

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Variation with WOR

WOR = 1

WOR = 5

WOR = 10

WOR = 15

WOR = 25

Source: OPGEE v. Beta

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Variation with GOR

GOR = 1050

GOR = 850

Source: OPGEE v. Beta. Stabilizer is turned off at high GOR

GOR = 650

GOR = 450GOR = 250

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Variation with SOR (no cogeneration)

SOR = 2

SOR = 3

SOR = 4

SOR = 5

SOR = 6

Source: OPGEE v. Beta.

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Variation with SOR (w/ cogeneration)

SOR = 2

SOR = 3

SOR = 4

SOR = 5

SOR = 6

Source: OPGEE v. Beta. Cogenerated power displaces NG power from grid.

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Major factors of variation1. SOR (if applicable)2. Flaring volume3. WOR4. Field depth5. Heater/treater (Y/N) 6. Stabilizer column (Y/N)

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Thank you

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