Coal Quality

9
SPE SattqJ ctr Fetrfrrr Er{iE€ c'f AtM E sPE 9467 AN INSITU COAL OUALI TY PREDI CTI Ot'l TECI-|NI QUE by Janice 0. Norris and Randy Thomas, Century Geophysical Corp. Ocopynght 1980, Amencan lnstltute ol N4inrng. lvletallurgrcal, and Petroteum Engtneers, Inc. Thtspap€rwasoresentedatthe55thAnnua|FallTechn.calconferenceandExhib|tionoftheSoc|-eojPeko|eum^f ThematertallsSubJecttocorrectlonbytheauthor'Permls!rontocopyisrestrrctedio"naos1'airotnotmorerhan30o-words.wrtte:6200N,CentralExp.'Da|las' REVIEW OF COAL LOG PARAMETERS The model90304 coal logging tool was devel- oped for the Compu-Log System to provide calibrated measurements for use in the in situ quality analysis technique. The tool measures the followinq oara- meters:natural gamma, caliper, resistivity, and garma-ganma density. The natural garffna system uses a large crystal to gain needed statistjcai qualitv from the gamna ray flux found in coal operations.- The single arm caliper decentraljzes the tool for the benefit of the density systemand ppq6usg5 6 continuous linear measurement of hole size. Hole conditions shown by the caliper data substant.iate the quality of the density measurements and indjcate when compensation for boreholecondit.ionsis npa oQ c: r\/ , The resistivity measurement is made by a focused, three electrode guard-type system. This sensor has high dynamic range, synmetr.ical thin bed response, and goodformation penetration by the six 'lnch measure beam. A departure curve has been derived to al'lowproper corrections for borehole size and fluid resistivity. These correctionscan be very large when freshwater drilljnq fluid .is , rrcad The_gamna-garilna density system produces an accurately calibrated density measurement using a col I imated I 3tCs sourceand a col I imated NaI detector ei ght i nchesapart. Tool decentral i zatj on minimizes variations caused by chanqes in borehole fluid and borehole size. The densiiy used in the analysis is referred to as an apparent density. This differs from the bulk density because, ai a practical approx'imation, the ganma-gamna density tool has a response proportional to-the formation electron density, which relates to the number of protons, Z, jn the formation. However, the bulk or mass density is related to the atomic weight, A, of the material. In most comnon elements found in formationsof jnterest, 7/A = 0.5; an exception js hydrogen with Z/A = .l.0. When hydrogenor heavy elements are involved, a correction iatio, Z Z/A, arjses; the ratio is 2 Z/A because the system is- The classic method of quantitatively evaluating coal sti11 underground involves obta'injng cores from boreholes and evaluatingthese cores in ihe laboratory Since.coring is time-consuming and costly, using quant'itative 1og data to calculate coal qual ity- information without complete dependence on corls is desirable. Qual ity information derived from such 1og data allows a moreextensive evaluationof coal beds while decreasing coring costs and al lows the nformation to be available as soon as the hole is iogged. Although initial correlation of core with 1og data for an area is required, later in situ ana)yses are possible. Initial results show the values generated by the in situ quality model fall within a few percentage points of the core values for moisture and ash and fall within several percent of the core heat content values. I NTRODUCT I ON Until recently, most coal evaluation has been accomplished without quantitative use of borehole logs; logging def ineated the coal bed and thereby provided useful data of thjckness and depth. t,liih the increasing need for developing coal resources, however,in situ coal qual ity analysis warrants closer study. Coring has beenthe coal geologist's tradj- tional source for quality information such as moisture, ash, and heat content. Since corinq is both costly and t'ime-consuming, a reliable in situ analysis technique allows significant savings. Log data is being studied with the objective of-devel-- oping such an analysis technique. This paper d.is- cusses the log parameters available, the core and 1og relationships used, how the relationsh.iDs are derived, how they are used, some results, and the advantages. and problems assocjated with developing such a technjque. ABSTRACT iieterences and II lustrations at end of paper.- TR-l75, pg. I of 9

description

About coal quality analysis

Transcript of Coal Quality

  • SPESattqJ ctr Fetrfrrr Er{iE c'f AtM EsPE 9467

    AN IN SITU COALOUALI TY PREDI CTI Ot'l TECI-|NI QUE

    by Jan i ce 0 . No r r i s and Randy Thomas ,Cen tu ry Geophys i ca l Co rp .

    Ocopynght 1980, Amencan lnstltute ol N4inrng. lvletallurgrcal, and Petroteum Engtneers, Inc.

    Thtspaprwasoresentedat the55thAnnua|Fa l lTechn.ca lconferenceandExh ib | t iono f theSoc | -eo jPeko |eum^fT h e m a t e r t a l l s S u b J e c t t o c o r r e c t l o n b y t h e a u t h o r ' P e r m l s ! r o n t o c o p y i s r e s t r r c t e d i o " n a o s 1 ' a i r o t n o t m o r e r h a n 3 0 o - w o r d s . w r t t e : 6 2 0 0 N , C e n t r a l E x p . ' D a | l a s '

    REVIEW OF COAL LOG PARAMETERS

    The mode l 90304 coa l l ogg ing too l was deve l -oped fo r t he Compu-Log Sys tem to p rov ide ca l i b ra tedm e a s u r e m e n t s f o r u s e i n t h e i n s i t u q u a l i t y a n a l y s i stechn ique . The too l measu res the fo l l ow inq oa ra -m e t e r s : n a t u r a l g a m m a , c a l i p e r , r e s i s t i v i t y , a n dgarma-ganma densi ty . The natura l gar f fna system usesa l a r g e c r y s t a l t o g a i n n e e d e d s t a t i s t j c a i q u a l i t vf rom the gamna ray f l ux f ound i n coa l ope ra t i ons . -T h e s i n g l e a r m c a l i p e r d e c e n t r a l j z e s t h e t o o l f o rt he bene f i t o f t he dens i t y sys tem and ppq6usg5 6c o n t i n u o u s l i n e a r m e a s u r e m e n t o f h o l e s i z e . H o l econd i t i ons shown by the ca l i pe r da ta subs tan t . i a tethe qua l i t y o f t he dens i t y measu remen ts and i nd j ca tewhen compensa t i on f o r bo reho le cond i t . i ons i sn p a o Q c : r \ /

    , The res i s t i v i t y measu remen t i s made by a

    focused , t h ree e lec t rode gua rd - t ype sys tem. Th i ssenso r has h igh dynamic range , synmet r . i ca l t h i n bedresponse , and good fo rma t i on pene t ra t i on by t he s i x' l nch measu re beam. A depa r tu re cu rve has beende r i ved to a l ' l ow p rope r co r rec t i ons f o r bo reho les i z e a n d f l u i d r e s i s t i v i t y . T h e s e c o r r e c t i o n s c a nbe ve ry l a rge when f reshwa te r d r i l l j nq f l u i d . i s ,r r c a d

    The_gamna-gar i lna densi ty system produces anaccu ra te l y ca l i b ra ted dens i t y measu remen t us ing aco l I ima ted I 3 tCs sou rce and a co l I ima ted Na Ide tec to r e i gh t i nches apa r t . Too l decen t ra l i za t j onm in im izes va r i a t i ons caused by chanqes i n bo reho lef l u i d a n d b o r e h o l e s i z e . T h e d e n s i i y u s e d i n t h eana l ys i s i s re fe r red to as an appa ren t dens i t y .Th i s d i f f e r s f r om the bu l k dens i t y because , a i apract ica l approx ' imat ion, the ganma-gamna densi tytool has a response proport ional to- the format ione lec t ron dens i t y , wh i ch re la tes t o t he number o fp ro tons , Z , j n t he f o rma t i on . Howeve r , t he bu l k o rmass dens i t y i s re la ted to t he a tom ic we igh t , A , o fthe mater ia l . In most comnon elements found info rma t i ons o f j n te res t , 7 /A = 0 .5 ; an excep t i on j shydrogen wi th Z/A = . l .0 . When hydrogen or heavye lemen ts a re i nvo l ved , a co r rec t i on i a t i o , Z Z /A ,a r j ses ; t he ra t i o i s 2 Z /A because the sys tem i s -

    T h e c l a s s i c m e t h o d o f q u a n t i t a t i v e l y e v a l u a t i n gc o a l s t i 1 1 u n d e r g r o u n d i n v o l v e s o b t a ' i n j n g c o r e s f r o mb o r e h o l e s a n d e v a l u a t i n g t h e s e c o r e s i n i h e l a b o r a t o r yS i n c e . c o r i n g i s t i m e - c o n s u m i n g a n d c o s t l y , u s i n gq u a n t ' i t a t i v e 1 o g d a t a t o c a l c u l a t e c o a l q u a l i t y -i n fo rma t i on w i thou t comp le te dependence on co r l s i sd e s i r a b l e . Q u a l i t y i n f o r m a t i o n d e r i v e d f r o m s u c h1 o g d a t a a l l o w s a m o r e e x t e n s i v e e v a l u a t i o n o f c o a lbeds wh i l e dec reas ing co r i ng cos ts and a l l ows then f o r m a t i o n t o b e a v a i l a b l e a s s o o n a s t h e h o l e i s

    i o g g e d . A l t h o u g h i n i t i a l c o r r e l a t i o n o f c o r e w i t h1 o g d a t a f o r a n a r e a i s r e q u i r e d , l a t e r i n s i t ua n a ) y s e s a r e p o s s i b l e . I n i t i a l r e s u l t s s h o w t h ev a l u e s g e n e r a t e d b y t h e i n s i t u q u a l i t y m o d e l f a l lw i t h i n a f ew pe rcen tage po in t s o f t he co re va luesf o r m o i s t u r e a n d a s h a n d f a l l w i t h i n s e v e r a l p e r c e n to f t h e c o r e h e a t c o n t e n t v a l u e s .

    I NTRODUCT I ON

    U n t i l r e c e n t l y , m o s t c o a l e v a l u a t i o n h a s b e e naccomp l i shed w i thou t quan t i t a t i ve use o f bo reho lelogs ; l ogg ing de f i nea ted the coa l bed and the rebyp rov ided use fu l da ta o f t h j ckness and dep th . t , l i i hthe i nc reas ing need fo r deve lop ing coa l r esou rces ,howeve r , i n s i t u coa l qua l i t y ana l ys i s wa r ran tsc lose r s tudy .

    C o r i n g h a s b e e n t h e c o a l g e o l o g i s t ' s t r a d j -t i ona l sou rce fo r qua l i t y i n fo rma t i on such asm o i s t u r e , a s h , a n d h e a t c o n t e n t . S i n c e c o r i n q i sbo th cos t l y and t ' ime -consuming , a re l i ab le i n s i t ua n a l y s i s t e c h n i q u e a l l o w s s i g n i f i c a n t s a v i n g s . L o gda ta i s be ing s tud ied w i th t he ob jec t i ve o f -deve l - -o p i n g s u c h a n a n a l y s i s t e c h n i q u e . T h i s p a p e r d . i s -cusses the l og pa rame te rs ava i l ab le , t he co re and1og re la t i onsh ips used , how the re la t i onsh . iDs a rede r i ved , how they a re used , some resu l t s , and theadvan tages . and p rob lems assoc ja ted w i th deve lop ings u c h a t e c h n j q u e .

    ABSTRACT

    i i e te rences and I I l us t ra t i ons a t end o f pape r . -

    T R - l 7 5 , p g . I o f 9

  • ca' l ibrated to a reference of 0.5. The Z/A rat ' ioof mater ia l is the sum of the atomic numbers oft he cons t i t uen t a toms d i v i ded by t he sum o f t hea tom ic we igh ts . As an examp le , wa te r hav ing at rue dens i t y o f . | . 00 g / cc has an appa ren t dens i t y o fl . l l g / c c ; s i n c e 7 / A f o r w a t e r = 0 . 5 5 , 2 7 / A = 1 . 1 1 .S im i l a r l y , t he Z /A va lues fo r coa l r ange f rom 0 .51to 0 .53 ; t he 2 7 /A va lues range f rom . l . 02 t o . l . 06 .The e igh t i nch sou rce -de tec to r spac ing p rov idesdens i t y measu remen ts o f an e igh t i nch th i ck sec t i onof the format ion. The data f rom seams th inner thanthe sou rce -de tec to r spac ing regu i re t h i cknessde r i ved amp l i t ude co r rec t i on .

    C o a l h a s c e r t a i n p r o p e r t i e s w h i c h e a s i l y a l 1 o wi t s i d e n t i f i c a t i o n o n a 1 o g . U s u a l l y , c o a l e x h i b i t s1ow gan rna coun ts , l ow dens i t y , and re la t i ve l y h ighr e s i s t i v i t y . S h a l e o r c l a y , o n t h e o t h e r h a n d ,shows h ighe r ga rma coun ts , h i gh dens i t y , and re la t -i v e l y 1 o w r e s i s t i v i t y . S a n d s d i s p l a y 1 o w g a n r n ac o u n t s , h i g h d e n s i t y , a n d r e l a t i v e l y h i g h r e s i s t i v i t y .

    THEORY

    Dur ing the deve lopmen t o f t he mode l , va r i ousc ross -p lo t s we re s tud ied . The bes t resu l t s we reob ta ined us ing the dens i t y cu rve . Fu r t [ r e rmore , cs tud ies d i scussed by Dyck and McKenz ie ' and Reeves 'subs tan t j a te t he use o f gan rna -gan rma dens i t y as av i a b l e i n s i t u c o a l q u a i i t y p r e d i c t o r . C o n s e q u e n t l y ,t he coa l qua l i t y mode l uses the fo l l ow ing th reel i n e a r r e l a t i o n s h i p s t o e s t j m a t e i n s i t u q u a l i t y :

    , ' l d r y ash vs appa ren t dens i t y (g / cc ) ,i l mo i s tu re vs % d ry ash , andd ry hea t con ten t (BTU/LB) vs % d ry ash .

    A 1 1 q u a n t i t i e s e x c e p t t h e a p p a r e n t d e n s i t y a r e c o r eva lues and a re we ' i gh t bas i s measu remen ts ; t he dens i t yi s t h e 1 o g v a l u e a n d i s b y n a t u r e a v o l u m e t r i c b a s i smeasu remen t . The o the r ' l og pa rame te rs a re used tove r i f y t ha t t he zone o f i n te res t i s t r u l y a coa lzone . Seve ra l s imp l i f y i ng assumpt ions a re made byt h e a n a l y s i s t e c h n i q u e . T h e c o a l s e a m i s c o n s i d e r e dt o c o n s i s t o f t h r e e c o m p o n e n t s o n l y : m o i s t u r e , a s h ,a n d " c o a l " . C o r e r e p o r t s a n a l y z e " c o a l " a s f i x e dc a r b o n a n d v o l a t i I e s . T h e c a r b o n / v o l a t i I e s r a t i ov a r i e s w i t h t h e t y p e o f c o a l b u t i s r e 1 a t i v e l ycons tan t f o r a g i ven seam. The dens j t y vs d ry ashr e l a t i o n s h i p a l l o w s t h e 1 o g i n f o r m a t i o n t o b eca l i b ra ted by co re i n fo rma t i on and the reby a l l owsl a t e r i n s i t u a n a l y s e s . T h e c o a l f o r a p a r t i c u l a rseam i s assumed to be o f un i f o rm rank ; an i nc reasein t he dens i t y , t he re fo re , shou ld rep resen t ani n c r e a s e i n a s h s i n c e a s h ' i s t h e m o s t d e n s e o f t h eth ree componen ts . The po in t o f i n te res t on the d rya s h v s a p p a r e n t d e n s i t y 1 i n e , s h o w n i n F i g u r e 1 , i st he 0% d ry ash i n te rcep t , wh i ch rep resen ts t hetheo re t i ca l . l 00% coa l appa ren t dens i t y . Th i s po in trep resen ts t he dens ' i t y o f t he coa l w i t h t he mo is tu rei nc l uded .

    The mo is tu re vs d ry ash 1 ine , shown i n F igu re2 , has two po in t s o f i n te res t . F j r s t , t he 0% d ryash i n te rcep t y i e l ds t he p robab le amoun t o f mo is tu rep resen t i n ash - f ree coa l . Second , t he 100% d ry ashin te rcep t y i e l ds t he p robab le amoun t o f mo is tu rep resen t i n "pu re " ash . S ince a t h ree -componen tsys tem i s assumed , a coa l seam con ta ins mo is tu rewhose va lue rep resen ts a con t r i bu t i on o f mo is tu ref rom both the coal and the ash. The moisture basiscan be e i t he r "as rece ' i ved " o r "equ i l i b r i um" depend ingon the des i red ana l ys i s mode . Equ i l i b r i um bas i s

    iN SITU COAL QUALITY PRIDICTION TECHNIOUE sPE 946;

    va lues reduce va r i a t i ons caused by d i f f e ren tcore f i e l d handl i ng procedures .

    The d ry hea t con ten t vs % d ry ash l i ne , shownin F igu re 3 , has one ma in po in t o f i n te res t : t hemo is tu re -ash - f ree (MAF) hea t con ten t i n te rcep t .This represents the theoret ica l heat content of"pu re ' ' coa l .

    The th ree re la t i onsh ips a re de r i ved by co1 -l ec t i ng da ta f r om co red ho les l ogged w i th a Compu-Log sys tem. Ave rages fo r t he 1og i n te rva l sco r respond ing to t he co re repo r t i n te rva l s a reca l cu la ted and used w i th t he co re i n fo rma t i on i n a' l eas t

    squa res l i nea r reg ress ion p rog ram to gene ra tea s e t o f t h r e e s l o p e s a n d i n t e r c e p t s w h i c h a l l o we s t i m a t e s o f i n s j t u q u a l i t y u s i n g t h e d e n s i t ysys tem .

    In sunmary, knowing the apparent densi tya l l o w s c a l c u l a t i o n o f a d r y a s h v a l u e ; t h e d r y a s hv a l u e a l l o w s m o i s t u r e a n d h e a t c o n t e n t c a l c u l -a t i o n s . F r o m t h e d r y b a s i s v a l u e s , m o i s t u r e b a s i sj n fo rma t i on can be gene ra ted . An ana l ys i s a lgo -r i t h m c a n t h e n b e c r e a t e d u s i n g t h e s e r e l a t i o n s h i p s .A p l o t o f q u a l i t y w i t h d e p t h j s t h e n p o s s i b l e a ss o o n a s a h o l e i s l o g g e d a f t e r t h e i n i t i a l c o r -re la t i ons have been made . F igu re 4 shows a s tanda rdc o a l l o g ; F i g u r e 5 s h o w s t h e c o r r e s p o n d i n g q u a l i t yp lo t f o r t he coa l seam shown i n F igu re 4 .

    ADVANTAGES AND PROBLEMS

    T h e m a i n a d v a n t a g e o f a n i n s i t u a n a l y s i st e c h n i q u e i s t h a t t h e c o a l q u a l i t y d a t a i s a v a i l -ab le i n rned ia te l y a f t e r a ho le i s l ogged . Cus tom-a r i 1y , co re l abo ra to ry t u rn t imes a re s l ow ; improp -e r l y bagged co res a re sub jec t t o mo is tu re changesa s w e l l a s p o s s i b l e l o s s i n h e a t c o n t e n t . C o n -sequen t l y , t he co re samp le may no t re f l ec t t he t r uep r o p e r t i e s o f t h e m i n a b l e c o a l s e a m . I n a d d i t i o n ,' i n f o r m a t i o n a b o u t a s e a m i s a v a i l a b l e w h i l e t h ea r e a i s b e i n o d r i l l e d r a t h e r t h a n s e v e r a l m o n t h sI a t e r .

    A n o t h e r a d v a n t a g e i s t h a t i n s i t u a n a l y s i sa l l ows a reduc t i on i n co r i ng and the reby resu l t s i na d r i l l i n g p r o g r a m c o s t s a v i n g s . I n s j t u a n a l y s . i si s n o t d e s i g n e d t o r e p l a c e c o r i n g ; r a t h e r , i t i sdes igned to supp lemen t a co r i ng p rog ram. A moree x t e n s i v e e v a l u a t j o n o f a c o a l b e d i s p o s s i b l e ;w i t h o u t i n c r e a s i n g c o r i n g c o s t s .

    A th i rd advan tage i s t ha t t he qua l i t y va r i a t i onsw i th dep th can be eas i l y seen when the da ta i sp lo t t ed . The co re rep resen ts d i sc re te , p rede te r -m j n e d i n t e r v a l s ; i n s o m e c a s e s , l o o k i n g a t as1 i9h t1y d i f f e ren t j n te rva l can a f f ec t t he rese rvees t ima tes . l , l i t h t he co re , t he j n te rva l s ana l yzeddeterm' ine the perspect ive. In other words, 1ogformat qua' l i ty analyses add f lex ib i l i ty to reserveca l cu I a t i ons .

    A fou r th advan tage i s t ha t t he i n s i t u ana l ys i sprovides a qual i ty contro l method for f ie ld pro-cedures and for core laborator ies. F ie ld problemsprevious ' ly unnot iced can be detected by the analys is .These p rob lems i nc lude i ncons i s tenc ' i es i n pa r t i ngremova l , i n co re dep th i n te rva l se lec t i ons , and i nbagg ing p rocedu res . S im i l a r l y , t he ana l ys i s can

    T R - 1 7 5 , p g . 2 o f 9

  • SPE 9467 I O. NORRIS AND R. THOMAS

    spo t susp i c j ous co re va lues . Such a check be fo rehad to be done by sending samples f rom one core toseve ra l l abo ra to r i es f o r i ndependen t assays .

    0n the o the r hand , ce r ta in p rob lems ex i s t i ndeve iop ing such a t echn ique . F i r s t , t he b igges tp rob lem i s t ha t o f ma tch ing the l og and co rein te rva l s . A l t hough the 1og i s ve ry capab le o faccu ra te dep th bounda ry de te r rn ina t i on , t he ques t i ona r i ses as t o wha t pa r t o f t he co re was ac tua l l ya n a l y z e d i n t h e l a b o r a t o r y . W h e n i n i t i a l i z i n g a na rea , i t i s impo r tan t t o se lec t t he l og i n te rva lwh i ch dep i c t s t he t r ue co red i n te rva l . S ince thed r i I I e r ' s dep ths usua l1y d i f f e r somewha t f r om thelog dep ths , some dep th sh i f t i ng o f t he co re i n te rva lob ta ined f rom d r i l l e r ' s dep ths may be necessa ry t of i t t h e c o r e i n t e r v a l t o t h e l o g i n t e r v a l . i fc o r e r e c o v e r y i s i n c o m p l e t e o r t h e c o r e s w e 1 1 s ,the ma tch -up becomes more d i f f i cu l t .

    Ano the r p rob lem occu rs when pa r t i ngs a reremoved and no t no ted on the co re repo r t . I n t h i sc a s e t h e i n s i t u a n a i y s i s s h o w s a h i g h e r a s h v a l u ethan the co re .

    I n add i t i on , e r ro rs i n t he co re repo r t so c c a s i o n a l l y a r i s e . I f a n e r r o n e o u s c o r e i s u s e di n t h e i n i t i a l c o r r e l a t i o n s , s o m e e r r o r m a y b ei n t roduced i n to t he ca l cu l a ted va l ues . A f te r t hec a r e f u l i n i t i a l c o r r e l a t i o n , t h o u g h , t h e i n s i t ur e s u l t s c a n b e u s e d t o s p o t s u s p i c i o u s c o r e p r o c e d u r e sfo r t hose ho les t ha t have been co red .

    TEST PROCEDURE AND RESULTS

    As a t es t case , co re and Compu-1og da ta wasc o l l e c t e d f o r a U . S . l i g n i t e d e p o s i t . T h e l e a s tsqua res l i nea r reg ress ions were run fo r t he d rya s h v s d e n s i t y , m o i s t u r e v s d r y a s h , a n d d r y h e a tc o n t e n t v s d r y a s h r e l a t i o n s h i p s . T h e p o i n t s u s e din t he d ry ash vs dens i t y reg ress ion were f rom thef i r s t 2 5 h o l e s c h r o n o l o g i c a l l y c o r e d ; o n e e x t r ah i g h a s h p o i n t w a s a d d e d t o g i v e b e t t e r r e s o l u t i o na t t h e h i g h a s h e n d o f t h e r a n g e . T h e e q u i l i b r i u mmo is tu re vs d ry ash and d ry hea t con ten t vs d ryash reg ress ions were composed o f l l and 30 samp lesrespec t i ve l y ; equ j l i b r i um repo r t s we re no t ye tava i l ab le f o r many ho les a t t he t ime the da ta waschosen . l . Jhen the equ i l i b r i um mo is tu re da ta becamea v a i l a b l e . l a t e r , a m o i s t u r e v s d r y a s h r e g r e s s i o nwas run on 71 samp ies ; t he mo is tu re vs d ry ashreg ress ion resu l t s we re essen t . i a l l y t he same. Ates t se t o f ho les was chosen fo r t he pa r t i cu la ra rea and the resu l t s o f t he reg ress ion were usedf n a n e l r r z o i h o l o c f < a i T n i i i e l l r r f h

    . , J ' . , , e c o r ei n t e r v a l s w e r e u s e d f o r t h e 1 o g i n t e r v a l s . N e x t ,a geo log i s t upda ted the 1og j n te rva l se lec t i ons t obe t te r rep resen t t he sec t i on o f t he ho le he fe l tt he co re l abo ra to ry had ana l yzed . When co reresu l t s became ava i l ab le f o r t he t es t se t , r esu l t so f t he f i e l d ana l yses were compared w i th co re .

    Tab le I shows the d ry bas i s resu l t s o f t hein i t i a l t es t us ing the co re i n te rva l s f o r t he 1ogin te rva l s . The co lumn show ing the d i f f e rencebetween the calculated and the core heat contentexh ib i t s a l a rge number o f samp ies unde res t ima t ' i ngthe hea t con ten t . A t t he bo t tom o f t he t ab le , t hear i t ,hmet ic and weighted averages ver i fy the under-e s t i m a t i o n o c c u r s .

    Table 2 shows the dry basis resul ts of thetes t i n wh i ch the geo ' l og i s t upda ted the l og i n te rva l sto bet ter represent the suspected cored interval .Compar i son to Tab le I shows tha t t he rede f i n i t i ono f i n te rva l s gene ra l l y improves the ca l cu la t i ons ;t he es t ima ted va lues gene ra l l y f a l l c l ose r t o t heco re va lues than the case i n wh i ch co re i n te rva l swere used. The standard deviat ions of the d i f ferencesbetween calculated and core are reduced and therebyjnd i ca te improved resu l t s . I n mos t cases theca l cu la ted ash fa l l s w i t h i n a f ew pe rcen tage po in t so f co re and the ca l cu la ted hea t con ten t f a l l sw' i th i n 5% of core.

    T a b l e 3 s h o w s t h e e q u i l i b r i u m b a s i s r e s u l t sfo r t he t es t i n wh i ch the geo log i s t upda ted the 1ogi n t e r v a l s . N o t e a g a i n t h a t t h e c a l c u l a t e d a s h a n dm o i s t u r e v a l u e s f a l l w i t h i n s e v e r a l p e r c e n t a g epo in t s o f co re and tha t t he ca l cu la ted hea t con ten tf a l I s w i t h i n 5 ? i o f c o r e .

    Fu r the r re f i nemen ts t o t he t echn ique w i l lenable bet ter accuracy. Some of the d ' i f ferences mayb e c a u s e d b y c o r e d i s c r e p a n c i e s o r b y d i f f i c u l t i e s' i n s e l e c t i n g t h e 1 o g i n t e r v a l w h i c h t r u l y r e p -resen ts t he co red samp le . The d rama t i c change i nr e s u l t s f r o m T a b l e I t o T a b l e 2 s h o w s s u c h ap rob lem can i ndeed be impor tan t .

    CONCLUS I ON5

    T e s t r e s u l t s i n d i c a t e t h a t t h e i n i t i a l c o r -r p l a i ' i n n n f l n n a n d . n r p n a r a r i e t p r s a l l o w s r g a -s o n a b l e c a l c u l a t i o n s o f m o i s ' " u r e , a s h , a n d h e a tc o n t e n t i n s i t u . F u r t h e r r e f i n e m e n t s t o t h et e c h n i q u e w i l I f u r t h e r i m p r o v e t h e a n a l y s i sr e s u l t s . S i n c e i n s i t u a n a l y s i s o f f e r s b o t h t i m ea n d c o s t s a v i n g s , i t s h o u l d f i n d r o u t i n e u s e ' i nc o a l r e s e r v e c a . l c u l a t i o n s . A d d i t i o n a l 1 o g d a t ashou ld be i n teg ra ted i n to t he n re thod to avo idd e n e n d i n o o n a s i n o ' l e I o o o a r a m e t e r - h o w e v e r .* -

    " ' J

    NOMENCLATURE

    A = a t o m i c m a s s n u m b e r ( t h e s u m o f a l ln e u t r o n s a n d p r o t o n s i n a n u c l e u s ) .

    Z = a tom jc number ( t he number o f p ro tonsi n a n u c l e u s ) .

    K L T L K L I \ L f )

    D y c k , J . H . a n d C . T . M c K e n z i e , " E s t i m a t i n gC e r t a i n A n a l y t i c a l P r o p e r t i e s o f L i g n i t e i nSaskatchewan f rom Gamma-Ganrna Borehole Densi tyI oos " nanFr n rpspn ted a t 7 th Fo rma t i onEva lua t i on Sympos ium o f t he Canad ian l , . l e l lL o g g i n g S o c i e t y , C a l g a r y , A l b e r t a , 0 c t o b e r 2 l -2 4 , 1 9 7 9 .

    R e e v e s , D . R . , " I n - s i t u A n a l y s i s o f C o a l b yBoreho le Logg ing Techn iques " , Canad ian t ' l i n i nga n d M e t a l l u r g i c a l B u l l e t i n , F e b r u a r y , . l 9 7 1 .

    r K - l / 5 3 o f 9

  • Tab le I

    Ana l ys i s Resu l t s Us ing Core In te rva l s f o r Log In te rva l s (D ry Bas i s )

    THKl r l /

    L U K ETHK/ t rT \

    CORE BTU/ LBCORE

    BTU/LBCALC COREASH ASH( % ) ( % )

    CALC- HOLE#CORE

    3 . 7 04 . r 0+ . L V

    4 . 8 03 . 7 03 . 7 0? ? nJ . O U

    3 . 3 04 . 2 03 . 5 03 . 9 04 . 2 05 . 3 0s . 2 05 . ? 04 . 8 04 . 4 04 . 1 04 . 4 0? a n3 . 4 03 . 7 03 . 9 04 . 0 03 . 7 02 . 4 03 . 8 04 . 2 0

    1 3 . 0 . l. l 5 . 9 42 4 . 3 31 3 . 9 21 4 . 0 2t s . l 7t o . ( 1i l .08t 6 . 5 5. l 6 . 1 9i l . 78I 5 . 4 61 0 . 9 21 4 . 4 99 . 6 6

    l l . 9 81 9 . 6 s? 2 1 61 7 . 0 ]I / . J JL L . J L

    1 4 . 5 61 4 . 3 22 4 . 3 2l 7 . ? 1' 1 6 . 5 6t 7 . 4 . l? 4 . 7 9| | . o a

    5 . 0 9- 1 . 7 4- J . + J

    - . ) a5 . 8 8

    t + - a aI . 4 5

    . 5 1J . + a

    . 1 46 . 0 84 . 6 l6 . 7 4? . 6 ?-

    . 0 5- 2 n 6

    - 1 . 2 9- . 4 2-

    . 0 64 . 6 8

    - 1 . 7 ?- t

    . 6 t

    7 . 0 9I . 7 1

    - ? . 0 2

    I 0 3 5 3 .' 10866 .9974 .

    I 0970 .I 0 t 0 3 .I 0647 .t 0 l . l 8 .I 0685 .I 0367 .I 0 5 3 7 .I 0738 .' 10685 .I 0500 .1A2)7 .1 0 5 7 5 .' I 081 0.I 0 t 5 4 .I 0 0 5 8 .I 0845 .I 0594 .

    9 U J Y .I 0824 .1 0 2 2 ? .9744 .

    I 068 r .1 0 5 8 0 .9497 .9 2 3 2 .

    I 0681 .

    I 0 7 9 6 .I 0 5 3 0 .9 4 5 5 .

    I 0893 .I 0 8 7 7 .10722.10627 .I 1 2 5 6 .I 0 5 2 6 .1 0 8 6 ] .i l 1 4 7 .r 075r .111?2.I 0 9 3 6 .11273.11?26.I 0 t 9 3 .9 7 5 0 .

    1 0 6 1 2 .I 0645 .I 0083 .I 0 9 3 2 .i l r 5 9 .9 8 2 0 .

    I 0605 .I 0 6 3 9 .1 0 4 r 8 .9 3 3 9 .

    I 0 3 3 2 .

    3 . 7 0 I B . l 04 . I 0 1 4 . 2 04 . 2 0 2 0 . 9 04 . 8 0 I 3 . 4 03 . 7 0 . l 9 . 9 03 . 7 0 . l 5 . 8 03 . 3 0 I 9 . 8 03 . 6 0 I 5 . 6 03 . 3 0 . l 8 . 0 04 . 2 0 1 6 . 7 03 . s 0 I 5 . 2 03 . 9 0 I 5 . 6 04 . 2 0 . l 7 . 0 05 . 3 ] 1 9 . 1 05 . 2 0 1 6 . 4 05 . 2 0 . l 4 . 6 04 . 8 0 I 9 . 6 04 . 4 0 2 0 . 3 04 . I 0 . l 4 . 4 04 . 4 0 . l 6 . 3 03 . 8 5 2 l . 9 03 . 4 0 1 4 . 5 03 . 7 0 , l 9 . 0 03 . 9 0 ? 2 . 6 04 . 0 0 I 5 . 6 03 . 7 0 , l 6 . 4 02 . 4 0 2 4 . 5 0

    4 . 2 0 I 5 . 6 0

    - + + J .

    5 t 9 .7 7 .

    - 5 0 9 .- 5 7 1 .- . l 5 9 .- J L + .- 4 0 9 .- 6 6 .

    - 6 ? 2 .-719

    .

    - 6 9 8 .- 4 1 6 .- 3 9 .3 0 8 .233.a A A

    - 1 0 8 .-937

    .

    - 7 6 .7 6 .

    - 5 9 .- 9 2 1 .- . l 0 7 .

    J + y .

    a a t

    ? q ?

    a l l- a t | .

    IL

    nT

    567tJ9

    l 0ill a

    l 4t f ,t 6l 71 8t 9?0) 1

    L L

    2 3242 52 6?72829

    NUMBER 0F SAMPLES = 29

    AVERAGES:. l 7 . 8 4

    STANDARD DEVIAT IONS:

    3 . 2 4

    | . IEIGHTED AVERAGES:1 1 6 . 6 0

    . l . l 6 . 6 1 1 7 . 7 0

    I 6 . 4 3

    t b . J b

    1 A ' )

    < t /

    I . 3 4

    I 0383.

    A "t .)

    I 0402.

    I 0604.

    517 .

    t u o I J .

    T R - 1 7 5 , p g . 4 o f 9

  • Tab le 2

    Ana lys i s Resu l t s Us ing Upda ted In te rva l s (D ry Bas i s )

    L A L L

    THKr FT'I

    UU KC.THK/ t r T \

    CALCASH

    I.U K E.

    ASH COREL A L L

    BTUi LBCORE

    BTU/ LBCALC- HOLE#CORE

    3 . 4 0 3 . 7 04 . 0 0 4 . t 04 . 2 0 4 . 2 04 . 7 0 4 . 8 04 . 0 0 3 . 7 03 . 7 0 3 . 7 0J . I U J . J UJ . J U J . O UJ . q U J . J U3 . 7 0 4 . 2 03 . 4 0 3 . 5 03 . 9 0 3 . 9 04 . 1 0 4 . 2 04 . 6 0 5 . 3 15 . 0 0 5 . 2 04 . 9 0 5 . 2 04 . 4 0 4 . 8 04 . 3 0 4 . 4 04 . 1 0 4 . ] 04 . 5 0 4 . 4 03 . 8 0 3 . 8 53 . 3 0 3 . 4 03 . 5 0 3 . 7 03 . 4 0 3 . 9 03 . 9 0 4 . 0 03 . 8 0 3 . 7 02 . 0 0 2 . 4 0

    4 . 2 0 4 . 2 0

    r s . 9 0I 3 . 7 020. 90. l 3 .00. l4 . 90. l 8 . 4 0I J . O Ul o - 4 u. l 3 . l 0I J . a uI 5 . 6 0. l 3 . 5 0I 5 . 8 0I 2 . 8 01 3 . 2 0. l 7 . 8 01 9 . 7 0I 3 . 9 0I 6 . 8 01 9 . 2 0. l 3 . 9 01 5 . 2 0I 9 . 0 0. l 3 . 8 0I 5 . 7 01 6 . 5 025.40I 5 . 3 0

    1 3 . 0 1. l 5 . 9 44 , + . J J1 3 . 9 21 4 . 0 2t ) . t /1 6 . 2 2l l . 0 81 6 . 5 51 6 . 1 9i l . 78I 5 . 4 6r 0 . 9 21 4 . 4 99 . 6 6

    ' l t . 9 8

    . l 9 . 6 52 2 . 3 6r 7 . 0 1. l 7 . 5 92 2 . 3 ?1 4 . 5 6t + . J t2 4 . 3 21 7 . ? 11 6 . 5 6I 7 . 4 t2 4 . 7 91 7 . 6 2

    ? . 8 9- L . L +- J . + J- . 9 2I . 4 8- . 2 7? . 1 82 . 5 ?- . t 5

    -3 . 091 n a

    t ,. l +

    2 . 5 8I . 3 r? 1 41 . ? ?

    - t . 8 5

    - ? . 6 6- ? 1 1-

    . 7 9- 3 . 1 2-

    . 6 6

    . 8 8- 5 . 3 2- 3 . 1 1-

    . 8 6- . 9 1

    . 6 1- 2 . 3 2

    I 0646 .' 10933 .997 4.

    I I 0 3 0 .I 0694 .I u / o v .I 0304.I 0948.I 0580.I t 0 r 6 .I 0 9 9 4 .I 0 6 8 5 .r 0961 .I 0 7 5 4 .1 0 5 6 .0 9 9 3 .0 3 8 9 .0129.0 9 0 9 .0 5 1 7 .0 2 0 5 .0 9 0 5 .U / J + .

    1A222.1 0 9 1 s .I 0 6 6 7 .I 0 5 6 6 .9377 .

    10727.

    r 0 7 9 6 . - 1 5 0 .I 0530. 403 .9 4 s s . 5 t 9 .

    I 0893. 137 .I 0 8 7 7 . - 1 8 3 .10722. 47 .10627 - -323.I I 2 5 6 . - 3 0 8 .I 0 5 2 6 . 5 4 .1 0 8 6 1 . 1 5 5 .i l 1 4 7 . - 1 5 3 .I 0 7 5 1 . - 6 6 .11122. - t 6 t .I 0 9 3 6 . - 1 8 2 .1 1 2 7 3 . - ? 1 7 .112?6 - -233.I 0 l 9 3 . I 9 6 .

    q 7 6 n ? 7 qI 0 6 1 2 . 2 9 7 .I 0 6 4 5 . - t 2 8 .' I n n a ? 1 2 tI 0 9 3 2 . - 2 7 .r I I 5 9 . - 4 2 5 .9820. 442.

    1 0 6 0 5 . 3 1 0 .I 0 6 3 9 . 2 8 .I 0 4 ] 8 . I 4 8 .9 3 3 9 . 3 8 .

    I 0 3 3 2 . 3 9 5 .

    1 0 6 0 4 . 3 7 .

    517 .

    t u o t J . J v -

    Iz

    56a

    8t

    t 0' I I

    1 ?1 At *

    l 5t 61 7t 6

    l >

    ?02 122( Jt Aa +

    26L I

    28a >

    NUMBER 0F SAMPLES = 29

    AVERAGES:1 5 - 9 2

    STANDARD DEVIAT IONS:

    2 . 8 8

    t iJEIGHTED AVERAGES:

    1 1 2 . ? 0 1 . l 6 . 6 . 1 1 5 . 8 5

    I 6 . 4 3

    4 . 0 7

    . l 6 . 3 6- . 5 ?

    r 0641 .

    1 0 4

    I 0 6 5 2 .

    ) ? nT R - T 7 5 . D C . 5 o f 9

  • Tab l e 3

    A n a l y s i s R e s u l t s u s i n g U p d a t e d I n t e r v a l s ( E Q B a s i s )

    CALC CORE CALCTHK THK MOIS( F r ) ( F r ) ( % )

    ^ n n - ^ i r ^L U K E . L I \ L \ , -

    MOIS CORECALC COREASH ASH( 1 ) ( % )

    CALC- CALC CORECORE BTU/LB BTU/LB

    CALC- HOLE #L U K L

    3 . 4 0 3 . 7 0 3 1 . 2 04 . 0 0 4 . 1 0 3 . l . 9 04 . 2 0 4 - 2 0 ? 9 . 7 04 . 7 0 4 . 8 0 3 2 . , l 04 . 0 0 3 . 7 0 3 ] . 4 03 . 7 0 3 . 7 0 3 l . 5 03 . 1 0 3 . 3 0 3 0 . 5 03 . 3 0 3 . 6 0 3 l . 9 03 . 4 0 3 . 3 0 3 , l . . l 03 . 7 0 4 . 2 0 3 2 . . l 03 . 4 0 3 . 5 0 3 2 . 0 03 . 9 0 3 . 9 0 3 . l . 3 04 . 1 0 4 . 2 0 3 2 . 0 04 . 6 0 5 . 3 . l 3 l . 5 05 . 0 0 5 . 2 0 3 2 . 2 04 . 9 0 5 . 2 0 3 2 . 0 04 . 4 0 4 . 8 0 3 0 . 7 04 . 3 0 4 . 4 0 3 0 . 1 04 . 1 0 4 . 1 0 3 1 . 8 04 . 5 0 4 . 4 0 3 . l . 0 03 . 8 0 3 . 8 5 3 0 . 3 03 . 3 0 3 . 4 0 3 1 . 8 03 . 5 0 3 . 7 0 3 l . 4 03 . 4 0 3 . 9 0 3 0 . 3 03 . 9 0 4 . 0 0 3 l . 9 03 . 8 0 3 . 7 0 3 1 . 3 02 . 0 0 2 . 4 0 3 ] . . l 03 . 6 0 3 . 8 5 2 8 . 4 04 . ? 0 4 . 2 0 3 ] . 4 0

    NUMBERS 0F SAMPLES = 29

    AVERAGES:3 1 . 2 4

    STANDARD DEVIAT IONS:

    ' 8 6

    I , /E IGHTED AVERAGES:

    3 1 . 5 1 - . 2 7

    I . 7 9 1 . 2 7

    1 0 . 9 5 l l . 3 r

    z - t o J . u f ,

    1 { i 4 - / 1 4

    J t . 1 6 - . J d2 8 . 5 6 l t 4

    3 l . 1 6 - ? 4

    2 9 . 3 7 ' l . r 3J I . L J - . J J

    3 ] . 5 0 - . 4 03 3 . 6 5 - t . 5 53 2 . 9 6 - . 9 63 l . 0 6 . 2 43 t . 0 9 . 9 13 1 . 6 4 - . 1 43 3 . 0 9 - . 8 97 2 ? L - ? 428 .99 I . 7 , l2 9 . 3 6 . 7 43 0 . 6 5 t . t 5< / t a - I / \

    3 2 . 1 5 - 1 . 8 53 4 . 5 3 - 2 . 7 3J C . d O - t . + O

    3 0 . 0 6 . ? 4? l 6 q 2 132 .64 - t . 342 9 . 8 ? I . 2 82 6 . 6 4 1 . 7 6J t . ( / t J

    1 0 . 9 0 8 . 6 59 . 3 0 1 0 . 7 9

    I 4 . 7 0 I 7 . 3 88 . 8 0 9 . 4 9

    t 0 . 6 0 9 . 6 5. l 0 . 2 0 . l 0 . 0 21 2 . 8 0 1 1 . 4 69 . 2 0 7 . 5 1

    i l . 30 i l . 348 . 9 0 1 0 . 7 49 . 0 0 7 . 9 0

    I 0 . 7 0 I 0 . 6 6q 2 0 7 \ 2

    1 0 . 3 0 9 . 9 0B . 7 0 6 . 4 69 . 0 0 8 . 1 0

    I 2 . 3 0 1 4 . 2 1I 3 . 8 0 I 5 . 7 99 . 5 0 i l . 8 0

    i l . 6 0 i l . 8 3' 1 3 . 4 0 . l 5 . 1 49 . 5 0 9 . s 3

    I 0 . 4 0 9 . 6 ]1 3 . 3 0 1 7 . 0 19 . 4 0 1 I . 7 6

    1 0 . 8 0 i l . 1 6I I . 3 0 1 2 . 2 ?1 8 . 2 0 t 8 . t 81 0 . 5 0 l 2 . l l

    2 . 2 5 7 3 2 0 . 7 1 7 5 .- 1 . 4 9 7 4 4 6 . 7 . l 3 1 .- 2 . 6 8 7 0 0 9 . 6 7 5 4 .- . 6 9 7 4 8 8 . 7 4 2 4 .

    .95 7341 . 7488 .

    . 1 8 7 3 7 5 . 7 0 8 5 .I . 3 4 7 1 6 4 . 7 5 0 6 .1 . 6 9 7 4 5 2 . 7 6 ? 8 .- . 04 7290 . 7210 .

    - 1 . 8 4 7 4 8 2 . 7 2 0 7 .t . t 0 7 4 7 3 . 7 4 7 3 .

    .04 7337 . 74l l .I . 6 8 7 4 5 9 . 7 6 6 5 .

    . 4 0 7 3 6 8 . 7 4 7 6 .2 .24 7 499 . 7543 .

    . 9 0 7 4 7 2 . 7 5 9 6 .- t

    . 91 7203 . 7245 .- 1 . 9 9 7 0 8 2 . 6 8 8 7 .- 2 . 3 0 7 4 3 6 . 7 3 6 0 .

    - ? ' 2 . 7 )6? 7 l qq-1

    . 74 71 . l 8 . 6841 .- . u J / c J f , . / t 3 t ,

    . 7 9 7 3 5 9 . 7 4 9 2 .-3 .71 71?6 . 6868 .- 2 . 3 6 7 4 3 9 . 7 2 4 5 .- . 3 6 7 3 2 9 . 7 1 6 r - .-

    . 9 ? 7 ? 8 4 . 7 3 1 2 .

    . u a o / t o . o 6 f , r .- l . o t / J f , o . / t u t .

    1 A C 1t l J . I

    1 t t /

    255. 36 4 . 4

    - t + t . f ,. Y U . O

    - J + t . I-176

    - 88 0 . 9

    2 7 5 . I 0. i l

    - 7 4 . 1 ?- 2 0 6 . t 3- t u o . t +

    A A l E- a a . I J

    - t l q . l oa 1 1

    - 4 . I I' 1 9 5 . l B7 6 . 1 9

    I 0 3 . 2 02 7 7 . 2 1l J 6 . L Z

    2 5 8 . ? 4I 9 4 . 2 51 6 2 . 2 6- ? 8 . ? 7

    - I J f , . L 6

    255 . 29

    1 1 2 . 2 0 i l 6 . 6 1 3 . l . 2 6 3 l . s l - . 2 5 1 0 . 8 9 . l 1 . 2 6

    - . J D t J t + . t a ) o .

    I . 5 8 1 7 7 . ? 5 5 .

    - . 37 7319 . 7261 . q a

    T R - 1 7 5 , p g . 6 o f 9

  • oRY 8TU./18 yS roRY BSH BY yT

    rORY NsH 8Y VTf = - 1 2 5 . 7 f 3 r X + 1 2 6 3 6 . i 0 0

    Fis. 3 - oRY 8IU/LB VS Z ORy ASH By iij

    I 6000.

    r {000.

    12000 .

    I 0000 .

    6000 .

    6000 .

    J

    o 4000 .

    2 0 0 0 .

    f PC F L i P E R I N ' 0 4 0. R E S I S T I V I T Y O H M _ M -.

    i B B

    2 0 0

    2 4 2l ?ffi

    it!?f?]

    -

    . G R M M R R P I I

    . i I p g . 8 o f 9T R - 1 7 5 ,

    Fjg. 4 - STA|I0AR0 C0AL PLOT.

  • 1r

    F

    q

    2 0 . 0

    rORY NSH 8Y VT VS RPPFRENT OENSITY

    O L O G ( G / C C )5 4 . 9 4 5 r X - 1 6 . 2 1 1

    Fiq. I - Z 0RY ASl1 8Y f , f VS APPAREIIT 0EftSITy.

    r E O X O I S I I J R E y s r O R Y q S i l B Y v T

    3 0 . 0 4 0 . 0

    rORY NSH 8Y VT- . 3 l 7 r X + 3 6 . 2 0 1

    Fiq. 2 - I E0ll0lSiURE VS Z tlRy ASH By m.

    E 0 . 0 9 0 . 0 1 0 0 , o

    O U . U

    7 0 . 0

    6 0 . 0

    t

    Uv:F6

    E

    oU

    T P - 1 7 5

  • ! nI U

    1\Il

    lII1)))

    nu