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25th International Meeting on Organic Geochemistry IMOG 2011

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P-285<br />

Understanding Fluid Inclusi<strong>on</strong> Stratigraphy (FIS) Data<br />

Daniel Stoddart 1 , Paul Farrim<strong>on</strong>d 2<br />

1 Lundin Norway AS, Oslo, Norway, 2 Integrated Geochemical <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> (IGI) Ltd, Bideford, United<br />

Kingdom (corresp<strong>on</strong>ding author:daniel.stoddart@lundin-norway.no)<br />

Fluid Inclusi<strong>on</strong> Stratigraphy (FIS) involves the<br />

analysis by mass spectrometry of volatile comp<strong>on</strong>ents<br />

present in rock samples, performed <strong>on</strong> each sampled<br />

cuttings interval and core chips throughout a well.<br />

We applied Principal Comp<strong>on</strong>ents Analysis (PCA)<br />

to FIS data from wells in the Barents Sea with the aim<br />

of better understanding the data and the interrelati<strong>on</strong>ships<br />

between the different i<strong>on</strong>s to define<br />

source rock vs. hydrocarb<strong>on</strong>-bearing intervals, marine<br />

vs. terrestrially deposited organic matter, and an oil<br />

characterizati<strong>on</strong> scheme. An attempt has been made<br />

to integrate well log, bulk and molecular geochemical<br />

data with FIS data to refine interpretati<strong>on</strong>s.<br />

FIS data were available for 23 wells in the Barents<br />

Sea. 15 wells were selected for individual analysis by<br />

PCA. Several PCA approaches were tested, using<br />

different selecti<strong>on</strong>s of FIS data (all i<strong>on</strong>s, selected i<strong>on</strong>s,<br />

ratios & parameters) and different data pre-treatments<br />

(normalisati<strong>on</strong> and autoscaling [standardisati<strong>on</strong>]);<br />

optimal results were obtained using a suite of 166 i<strong>on</strong><br />

abundances (14 i<strong>on</strong>s being excluded due to their<br />

frequent absence or apparent unreliability) which<br />

were normalised and autoscaled prior to PCA.<br />

Example data from 7220/6-1 well, a commercially<br />

dry hole with good oil shows and residual<br />

hydrocarb<strong>on</strong>s in carb<strong>on</strong>ates. PC1 scores data are<br />

coincident with a sharp increase in methane and<br />

paraffin FIS resp<strong>on</strong>ses in the carb<strong>on</strong>ates. The PC1<br />

loadings plot indicates that PC1 is dominated by<br />

heavier hydrocarb<strong>on</strong> i<strong>on</strong>s, thus producing a<br />

―hydrocarb<strong>on</strong> log‖. A ratio of (as logs) 111+113 AMU<br />

to 29 AMU gives a ―C8/C2 log‖ which interestingly<br />

shows a more c<strong>on</strong>sistent oil signature throughout the<br />

carb<strong>on</strong>ates, but falling towards its base. This may<br />

indicate that ratios (i.e. compositi<strong>on</strong>al informati<strong>on</strong>) are<br />

more reliable than raw i<strong>on</strong> abundances, the latter<br />

being influenced by too many other factors (e.g.<br />

inclusi<strong>on</strong> abundance).<br />

High acetic acid c<strong>on</strong>centrati<strong>on</strong>s are evident<br />

directly below a z<strong>on</strong>e of high methane and paraffin<br />

values. Gas chromatograms from in/around the high<br />

acetic acid z<strong>on</strong>es show water washing/biodegradati<strong>on</strong><br />

effects lending credence to the idea that this may<br />

represent a paleo-OWC.<br />

Source rocks and coaly intervals produce similar<br />

FIS spectra to oil-bearing intervals, and resp<strong>on</strong>d<br />

similarly in PCA. Hekkingen Fm. samples often show<br />

a good relati<strong>on</strong>ship between PCA resp<strong>on</strong>se and total<br />

organic carb<strong>on</strong> c<strong>on</strong>tent, suggesting that kerogen<br />

c<strong>on</strong>tent may c<strong>on</strong>trol the FIS signal in these intervals.<br />

Parameters including aromatic i<strong>on</strong>s or methane (15<br />

AMU) intensity are useful in distinguishing between<br />

FIS resp<strong>on</strong>ses from marine source rocks and coaly<br />

intervals.<br />

This study will show how FIS data can be more<br />

fully explored.<br />

418

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