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addressing uncertainty in oil and natural gas industry greenhouse

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DOCUMENT AT A GLANCE<br />

This document is designed to provide a summary of technical considerations that are important for<br />

underst<strong>and</strong><strong>in</strong>g <strong>and</strong> calculat<strong>in</strong>g GHG emission <strong>in</strong>ventory <strong>uncerta<strong>in</strong>ty</strong>. The document will provide needed<br />

technical background <strong>and</strong> specific calculation methods to determ<strong>in</strong>e uncerta<strong>in</strong>ties with targeted<br />

measurements <strong>and</strong> emission factors <strong>and</strong> determ<strong>in</strong>e how to aggregate these <strong>in</strong>dividual terms to derive<br />

<strong>uncerta<strong>in</strong>ty</strong> ranges (at a pre-designated probability level) for entire GHG <strong>in</strong>ventories, at any given level.<br />

These emission <strong>in</strong>ventories of typical <strong>oil</strong> <strong>and</strong> <strong>natural</strong> <strong>gas</strong> (O&G) operations are quite complex; they are<br />

based on a comb<strong>in</strong>ation of measured <strong>and</strong> estimated emissions data, accord<strong>in</strong>g to local requirements <strong>and</strong><br />

available <strong>in</strong>formation. The overall range of <strong>uncerta<strong>in</strong>ty</strong> associated with an entity GHG <strong>in</strong>ventory is<br />

determ<strong>in</strong>ed primarily by the <strong>uncerta<strong>in</strong>ty</strong> associated with the largest (“key”) sources of emissions. In turn,<br />

the confidence <strong>in</strong>terval associated with each <strong>in</strong>dividual source depends on the availability of sufficient<br />

data to estimate emissions, or on the quality of that data, <strong>in</strong> order to properly account for emission<br />

variability.<br />

Uncerta<strong>in</strong>ty analysis is a potential tool to not only assess confidence <strong>in</strong>tervals, but more importantly, to<br />

allow the target<strong>in</strong>g of specific areas for enhanced data collection. Such an analysis will enable a user to<br />

rank order the importance of different emission sources <strong>in</strong> terms of their overall contribution to the<br />

emissions <strong>in</strong>ventory <strong>and</strong> its overall <strong>uncerta<strong>in</strong>ty</strong> range.<br />

This document is a companion to the API Compendium of Greenhouse Gas Emission Methodologies for<br />

the Oil & Gas Industry (2009 API Compendium). It provides a range of background <strong>in</strong>formation on<br />

<strong>in</strong>dustry practices <strong>and</strong> specific calculation methods that would enable <strong>in</strong>ventory developers to quantify<br />

<strong>and</strong> better underst<strong>and</strong> the <strong>uncerta<strong>in</strong>ty</strong> associated with the resultant GHG emissions.<br />

Section 1.0 <strong>in</strong>troduces some basic concepts <strong>and</strong> terms that provide a foundation for underst<strong>and</strong><strong>in</strong>g GHG<br />

emissions <strong>in</strong>ventory <strong>uncerta<strong>in</strong>ty</strong>. This term<strong>in</strong>ology is used throughout the document. This section covers:<br />

the importance of reliable GHG account<strong>in</strong>g; a term<strong>in</strong>ology overview; def<strong>in</strong>ition of error types; <strong>and</strong> a<br />

description of the determ<strong>in</strong>ation of <strong>uncerta<strong>in</strong>ty</strong> ranges (also known as confidence <strong>in</strong>tervals).<br />

Section 2.0 discusses the major sources of <strong>uncerta<strong>in</strong>ty</strong> <strong>in</strong> GHG <strong>in</strong>ventories. It moves from general<br />

concepts to issues that are germane to GHG <strong>in</strong>ventories <strong>in</strong> the O&G <strong>in</strong>dustry. It also describes factors<br />

that could <strong>in</strong>troduce errors <strong>in</strong>to the emission measurements process <strong>and</strong> contribute to the range of<br />

uncerta<strong>in</strong>ties of estimated emissions. It <strong>in</strong>troduces the categories of emission estimation approaches <strong>and</strong><br />

their <strong>uncerta<strong>in</strong>ty</strong> implications, <strong>and</strong> concludes with a short description of emission <strong>in</strong>ventory steps <strong>and</strong> data<br />

aggregation.<br />

Section 3.0 provides an overview of measurement practices, focus<strong>in</strong>g on <strong>gas</strong> flow measurements <strong>and</strong> the<br />

determ<strong>in</strong>ations of carbon content <strong>and</strong> heat<strong>in</strong>g values of combusted fuels. The section recognizes <strong>in</strong>dustry<br />

recommended practices <strong>and</strong> st<strong>and</strong>ards that have traditionally applied to “custody transfer”. This section<br />

Pilot Version, September 2009<br />

viii

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