Flaring of Associated Natural Gas in the Bakken · PDF fileFlaring of Associated Natural Gas...

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Intro Model Data Empirics Implications Extra Slides Flaring of Associated Natural Gas in the Bakken Shale Timothy Fitzgerald 1 and Case Stiglbauer 2 1 Texas Tech University 2 Continuity USAEE North American Conference Pittsburgh, PA 28 October 2015

Transcript of Flaring of Associated Natural Gas in the Bakken · PDF fileFlaring of Associated Natural Gas...

Page 1: Flaring of Associated Natural Gas in the Bakken · PDF fileFlaring of Associated Natural Gas in the ... BAKKEN FLARING WIDESPREAD, PERSISTENT, ... Ca ss Grant McLean McKenzie Morton

Intro Model Data Empirics Implications Extra Slides

Flaring of Associated Natural Gas in theBakken Shale

Timothy Fitzgerald1 and Case Stiglbauer2

1Texas Tech University

2Continuity

USAEE North American ConferencePittsburgh, PA 28 October 2015

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I Natural gas flared at thewellhead accounts for 30%of natural gas productionvolume in North Dakota

I Annual foregone revenueis over $1 billion

I CO2 emissions from flaringare up to 905 tons per year

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BAKKEN FLARINGWIDESPREAD, PERSISTENT, INCREASED

Figure : Natural Gas Flared in Bakken Region, Jan 2000 – Dec 2013

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OIL AND GAS CO-PRODUCEDGAS IS LESS VALUABLE BYPRODUCT

Figure : Value of Oil Sold and Natural Gas Flared

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HISTORICAL CONTEXT

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Figure : Natural Gas Flared or Vented, Selected States 1967–2013

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RESEARCH QUESTIONS

I Why freely dispose?I What determines the

decision to connect toinfrastructure?

I Why not connect everywell?

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WHY FLARE?OPTIONS FOR PRODUCED GAS

1. collect and marketI requires investment in gathering and processing

2. reinjectI requires sufficient pore space

3. “on-lease” useI electric generation; rich gas may pose problems

4. flareI safety issue; preferable to venting from GHG standpoint

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GATHERING AND PROCESSING

Co-produced gas is a mix of methane (CH4) and associatedcompounds (NGLs)

I NGLs often important share of economic valueCollecting and marketing methane and NGLs requires specificinfrastructure investment

1. gathering linesI move raw gas from wellhead to

gas plant2. gas processing

I separate methane from NGLs3. transmission capacity or access to

storageI transport to consumer (intra- or

inter-state)Natural Gas System Schematic (EPA)

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ORGANIZATIONCONTRACTS

Most gathering and processing is not owned by operatorsI specialized midstream firmsI ONEOK, Kinder Morgan: ∼ 750 MMcfdI Whiting, Hess, XTO, Petro Hunt, True: ∼ 485 MMcfd

Contracts between operator (well) and processor (plant):I shareI “keep whole”I cashI hybrids of above

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MODEL I

Two resources are co-produced with exponential decline.

yt = (1 − α) yt−1

Separable infrastructure investments for the two productsdetermine potential regimes for profit maximization.

Π =

{(p1 − c1) y1 I1 = 1, I2 = 0

(p1 − c1) y1 + (p2 − c2)y1

ξ I1 = 1, I2 = 1

This yields an investment rule for the second product.

T∑t=τ

{βt (p2t − c2t)

y1tξ

}≷ I2

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MODEL I

Two resources are co-produced with exponential decline.

yt = (1 − α) yt−1

Separable infrastructure investments for the two productsdetermine potential regimes for profit maximization.

Π =

{(p1 − c1) y1 I1 = 1, I2 = 0

(p1 − c1) y1 + (p2 − c2)y1

ξ I1 = 1, I2 = 1

This yields an investment rule for the second product.

T∑t=τ

{βt (p2t − c2t)

y1tξ

}≷ I2

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MODEL I

Two resources are co-produced with exponential decline.

yt = (1 − α) yt−1

Separable infrastructure investments for the two productsdetermine potential regimes for profit maximization.

Π =

{(p1 − c1) y1 I1 = 1, I2 = 0

(p1 − c1) y1 + (p2 − c2)y1

ξ I1 = 1, I2 = 1

This yields an investment rule for the second product.

T∑t=τ

{βt (p2t − c2t)

y1tξ

}≷ I2

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VARIABLE REVENUES

Specific infrastructure investmentsI Might not be such a good idea when output prices varyI Steep decline in production may not justify connection

I connect immediately or not at all

Use binomial option modelI observed history of price variationI proxy for connection costI calculate value of waiting to connectI use calculations to assess behavior

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OPTION TREECOMPOUND DECLINE & PRICE UNCERTAINTY

p2y2

p2δ (1 − α)y2

δp2(1 − α)y2

p2δ2 (1 − α)2y2

p2(1 − α)2y2

δ2p2(1 − α)2y2

δ3p2(1 − α)3y2

δp2(1 − α)3y2

p2δ (1 − α)3y2

p2δ3 (1 − α)3y2

(1 − ρ)

ρ

t = 1 t = 2 t = 3 t = 4

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Figure : Study Region

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Figure : Location of Wells and Gas Plants in Bakken Region

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FLARING

North Dakota Montana

40x flaring in ND vs. MT6.5x wells in ND vs. MT

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Table : Summary Statistics

Variable (units) Mean Std. Dev. Min Max

Flared Gas (Mcf) 826.11 2847.29 0 90938Gas Produced (Mcf) 2999.23 4401.85 0 133550Gas Sold (Mcf) 2077.47 3390.21 0 77348

Nearest Well (mi) 1.02 2.11 0 36.26Nearest Plant (mi) 14.58 8.32 0.22 65.24

Age at Connection (months) 7.2 8.5 2 99

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PRODUCTION DECLINE

Estimate simple decline rates from production histories:I Oil: 4.5 percent per monthI Natural Gas: 4.0 percent per month

I Comparable to Covert (2014) and Fitzgerald (2015)I Gas-oil ratio increases over time

Can forecast remaining recovery for each well in each monthI conditional on well-specific initial production and declineI have tried time-varying decline rates

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WHAT IS THE OPPORTUNITY COST OF FLARING?

Foregone revenues depend on price variationI composition: raw/wet vs. dryI timeI spatial basis

We construct a Bakken-specific raw gas price estimateI Stiglbauer (2015)

Account for NGL content, time variation, constant spatial basisMay 2007 – December 2013

Value remaining revenue at current priceI Estimated gross benefits of connection

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COSTS

We do not observe connection investments directly

We do observe:I Euclidean distance to nearest well connected to networkI Euclidean distance to nearest gas plant that is operationalI Identity of nearest gas plant and its operator

1. use observed connections to predict average relationshipbetween connection and distance to nearest connected well

2. use panel of connection distances for unconnected wells topredict connection costs

3. construct estimated net benefit of connection: estimatedremaining revenue - estimated connection cost

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ESTIMATED COSTS

At mean distance: 0.75 miles to nearest well, 13 miles to nearestplant$88,500 – 202,700 (well – plant)This does not account for the cost of the plant

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THREE MODELS

1. Flaring TobitI Validate comparative statics of theoretical modelI Have compared to well fixed effects linear regression

2. Connection DurationI Identify factors associated with decision to connect

3. Dynamics of DecisionI Treat connection as a potentially valuable option

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TOBIT RESULTS

Table : Tobit Coefficients: Log Flared Gas

(1) (2) (3) (4)

Log Age Months -2.369*** -2.369*** -2.216*** -2.529***(0.045) (0.243) (0.189) (0.270)

Log Raw Price -3.527*** -3.527*** -3.048***(0.140) (0.975) (1.066)

Log Dry Price -7.326***(1.094)

Log Distance Well 2.170*** 2.170*** 2.180***(0.105) (0.513) (0.549)

Log Distance Plant 0.390(0.422)

Constant 15.011*** 15.011*** 16.688*** 14.302***(0.388) (2.299) (1.536) (2.530)

σ 5.610*** 5.610*** 5.837*** 5.749***(0.042) (0.365) (0.346) (0.395)

Notes: Dependent variable is logarithm of flared gas, measured in Mcf per month. Distance tonearest connected well is distance to nearest well that is selling gas. Distances are measured inmiles.

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DURATION RESULTS

Table : Duration to Connection Coefficients(1) (2)

Dry Gas Price -0.079***(0.015)

Wet Gas Price -0.016*(0.0094)

Production Month 0.095*** 0.094***(0.0088) (0.0085)

Distance Well 0.53*** 0.56***(0.050) (0.053)

Distance Plant -0.0025 -0.0038(0.0044) (0.0051)

N 57,053 52,896BIC 17377.5 16180.8Notes: Dependent variable is binary indicator of con-nection to gas infrastructure. Hazard rate is specifiedas complementary log-log function. Distance to near-est connected well is distance to nearest well selling gasin same month, coded zero if a well is connected itself.Distances are measured in miles. * 0.10 ** 0.05 *** 0.01

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EXPECTED GAINS FROM INVESTING IN

INFRASTRUCTURE

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DECISIONS

Estimate value of connection ineach month for eachunconnected well

I estimate value ofremaining recovery (upperbound at current price)

I from connected well,estimate connection costper mile (average cost)

I estimate difference foreach well

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Average Over Observed Well LifeConnected Not

In Money 948 468 1,416Out of Money 1,414 2,946 4,360

2,362 3,314

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VALUE DECLINES OVER TIME

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ECONOMIC IMPLICATIONS

Flaring in Bakken is a big deal compared to rest of U.S.I not such a big deal when compared to rest of world

Costs of connection may outweigh gains from marketing gas insome cases

I this is an argument for “rational free disposal”I CNG transport from wellpad depends on NGL margin

Very little unitization to this pointI would allow for optimal infrastructure investment (w/in

unit)I unconventional resources 9 unitization

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POLICY IMPLICATIONS

I Political and policy issue in North DakotaI Not as much Montana, but also other states (PA, OH, TX)

I Impose constraint for “gas capture plans”I Intended to reduce flaring by 2019

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Figure : ND Processing Capacity and Gas Sales

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Figure : Bakken Rig Counts

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Figure : Flaring by Connection Status

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Figure : North Dakota Gas Plants and Interstate Transmission, March2015

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Emmons

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Grand Forks

SteeleSheridan

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North Dakota Natural Gas Pipelines

D Gas Plants AllianceAux SableBison

HessHilandNorthern Border

ONEOKWBI EnergyWhiting

Bakken MatureBakkenThree Forks

Date: 3/4/2015Disclaimer: Neither the State of North Dakota, nor any agency, officer, or employee of the State of North Dakota warrants the accuracy or reliability of this product and shall not be held responsible for any losses caused by reliance on this product.

Portions of the information may be incorrect or out of date. Any person or entity that relies on any information obtained from this product does so at his or her own risk.

Courtesy of NDPA

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MCKENZIE GRASSLANDS

WATFORD CITY GAS PLANT

RED WING CREEK GAS PLANT II

DRAFT - North Dakota Gas - DRAFT

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0 10 20 30 405Miles

0 10 20 30 405Kilometers

1:400,0001 in = 6 miles

Processing and TransportationFebruary 2015

²Courtesy of NDPA