AN INVESYIGATSON AND CQMPAMSON 02" VARIOUS FECHNIQUES Q? fiiSAGGRiGATWN A3 A?'§?LEE§E TC} SHALES flwests £0? {“510 Degree 0? M. 5. WCBEGAN SM?" Ufi‘é’i’fig‘il‘i’ William Fay Bradford 1958 THESIS LIBRARY Michigan Scam University AN INVESTIGATION AND COMPARISON OF VARIOUS TECHNIQUES OF DISAGGREGATION AS APPLIED TO SHALES by WILLIAM FAY mADFORD Submitted to the College of Science and Arts of Michigan State University of Agriculture and Applied Science in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Ghology 1958 ACKNOWLEDGEMENTS The author wishes to express his sincere appreciation to Dr. B. T. Sandefur for his direction and suggestions which aided greatly in the completion of this project. He also wishes to thank Dr. H. B. Stonehouse and Dr. C. E. Prouty of the Geology Department of Michigan State University for their helpful suggestions pertaining to this problem, and Dr. M. Breazeale of the Physics Department of Michigan State University who made the use of the ultrasonic vibrator possible. The writer is deeply indebted to his wife Meriel, who was responsible for the typing of this manuscript and who gave much encouragement during the entire project. 11 AN INVESTIGATION AND COMPARISON OF VARIOUS TECHNIQUES OF DISAGGREGATION AS APPLIED TO SHALES WILLIAM FAY BRADFORD ABSTRACT The purpose of this project was to employ a number of disaggregation techniques on shales to determine which techniques produced the best results. The disaggregation methods employed in this research were both physical and chemical. The physical included ultraSOnic vibration, mortar and pestle, and oak board. The chemical included potassium hydroxide and perchloric acid. .Eight rock samples were selected; they included six shales, one sandstone and one siltstone. These samples were treated by the various disaggregation techniques and then pipette analyses were run on each sample. The results of the analyses were compared to determine which methods were most effective. The results of this research indicate that for the most successful disaggregation of a shale, the ultrasonic vibration 111 method should be employed. However, the perchloric acid method produced the best results on the coarser-grained siltstone and sandstone. iv CONTENTS INTRODUCTION . . . . . . . Purpose ........ . . . . Methods and Scope . . Sample Selection . . . PHYSICAL METHODS . . . . . Introduction . . . . . . Ultrasonic Vibration Method Equipment . . . . . . Sample Preparation . . Disaggregation . . . . Pipette Analysis . Data Analysis . . . . Data Interpretation . Mortar and Pestle Method Equipment . . . . . . Disaggregation . . . . Pipette Analysis . . . Data Analysis . . . Data Interpretation Oak Board Method . .‘. . Equipment . . . . . . Disaggregation . . . . Pipette Analysis . . . Data Analysis . . . . Data Interpretation CHEMICAL METHODS . . . Introduction . . . . . . Potassium Hydroxide Method Sample Preparation . . Disaggregation . . . Pipette Analysis . . . Data Analysis . . . . Data Interpretation . "U A \nCDOvPIfla u: \0 x» so +4 +4 l4 Perchloric Acid Method Sample Preparation Disaggregation . . . Pipette Analysis . . Data Analysis . . Data Interpretation CONCLUSIONS . . . . . . RECOMMENDATIONS . . . REFERENCES . . . . . . v1 TABLE I. II. III. IV. VI. VII. VIII. IX. XIII. XIV. XVI. XVII. XVIII. ILLUSTRATIONS Rock Samples . . . . . . . UITRASONIC VIBRATION METHOD Sample Treatment . . . Weight and Percentage of Sample larger than 0.0625 mm , Size Analysis Percentage by Weight . Cumulative Percentage MORTAR AND PESTLE METHOD Sample C OAK BLOCK METHOD Sample C . POTASSIUM HYDROXIDE METHOD Weight and Percentage of Sample larger than 0.0625 mm Uncorrected weight in Grams Corrected weight in Grams . , . . Corrected weight in Grams times 50 . , Percentage . . . . . . . . . . . . . . Cumulative Percentage . . . . . . . . PERCHLORIC ACID METHOD Weight and Percentage of Sample larger than 0.0625 mm o o o o o e e c o o o e Uncorrected Height in Grams . . . . . Corrected weight in Grams , Corrected Weight in Grams times 50 . vii Page 12 16 21 2h 27 29 30 31 33 3h 35 37 38 39 TABLE XIX. XX. XXI. Percentage of Samples larger than Percentage Cumulative Percentage Cumulative Cumulative Cumulative Cumulative Cumulative Cumulative Cumulative Cumulative Curves Curves Curves Curves Curves Curves Curves Curves for for for for for for for for Sample Sample Sample Sample Sample Sample Sample Sample viii EQ’UWUOEIb Page #1 42 H6 1&7 48 49 50 51 52 53 5:. AN'INVESTIGATION AND COMPARISON OF VARIOUS TECHNIQUES OF DISAGGREOATION AS APPLIED TO SHALES INTRODUCTION Purpgse The purpose of this research was to employ various dis- aggregation methods on a number of shales and analyze the results to determine which method of disaggregation produced the best results. Methgds agd Scope The methods used in this research were both physical and chemical. The physical were ultrasonic vibration, mortar and pestle, and oak block. The chemical means utilized potassium hydroxide and perchloric acid. The scope of the research was to disaggregate the samples, run a phpette analysis, interpret the results, and determine which method gave the best results. ngple Selectigg Eight rocks were selected; they included six shales, one sandstone, and one siltstone (Table I). 1 Sample EQWFJUOW TABLE I ROCK SAMPLES Egg; Marshall sandstone glazed argillaceous shale bituminous shale Saginaw shale petroliferous shale siltstone carbonaceous shale Antrim shale urce Grindstone City, Michigan Cohoes, New York Leroy, New York Grand Ledge, Michigan Fossil, Wyoming Mexico. Moscow, New York Charlevoix County, Michigan PHYSICAL METHODS Igtrgdgctigg Because of the lack of information about the ultrasonic vibrator, it was decided to explore the use of this machine extensively to determine if it would be successful in this application. It was not decided to add the mortar and pestle method and the oak block method until after the chemical methods had been started. Because of the lack of sample material after starting the chemical methods, the mortar and pestle method and the oak block method could only be run on one rock type. However, the sample that was used in these two methods was one of the toughest of the samples and it was felt that if disaggregation was successful on this sample, it would also be successful on other shales. Ultrasonic Vibrgtigg Eguipgggt The ultrasonic vibration machine had a maximum frequency of 300 kc, with an oscillator plate power output of 300 watts. The power supply was full wave, producing 1500 volts at full power.. The vibrations were produced by a disc-shaped quartz crystal transducer about four inches in diameter and about one-half inch thick. The transducer was located inside a heavy lucite cylinder. The cylinder was filled with oil which transmitted the vibrations produced by the quartz crystal transducer to the samples. Various other transducers are obtainable which would increase the effectiveness of the treatment, however none of them were available. Because of the power loss due to the shape of the transducer, it was decided to use one gram samples in this machine. Sample Preparatigg Because of the lack of knowledge and information about this machine, three samples of each of the eight rocks were subjected to a treatment of five minutes, ten minutes, and fifteen minutes respectively (Table II). The rocks were crushed with a hammer to a maximum diameter of approximately I one—sixteenth of an inch and three samples of 1.000 gram each were taken from each of the eight pulverized rocks. The samples were placed in water in a small glass test tube and then treated. Disaggregatiog During the treatment of the samples the machine was run at full power for five minute periods whenever possible. The glass test tube containing the pulverized sample was suspended in'the oil during the treatment. At times the machine became so hot the water in the test tube boiled. .uoussas m use noussas ~\H H .eae m ..qaa «\H m ..qaa «\H H .wopmnas m use mopssds :\m H .moussas m use «enemas N oqda m nogda m godda :\m : .aopssas m Sounds. 3 .smu pom: .cmm one: am 60Hdom .ssh eon: .smm use: an ceddom .smu comb .som com: um poaaom .eec some .smm eon: um cofiaom .smm com: um uOHdom um cedaom .sma eons .smu com: um uoddom 33.3w. Bzmza 0H20m OHzomH mamma O 01 U} .adz .mm mafia mecco. moccc. occco. mmaoo. moacc. csmcc. omcc. mmcc. msoo. cHHc. omac. ammo. memo. mono. mmoo. mwcc. ao>on scopes IdHHaZ Gd .HOD OE INHQ 10 mac. moo. moo ooo mac. woo. woo. ccc : cac moo. moo. ccc. ccc. coo mmc cmc. cac oac. acc aac. ooc moo. cco. occ. mac. :cc aoc. coc. moo. moo. cac. mmc amc. ooc. moo. mac. sac. mac. mac. mac” ooc ozo. amo. mac. omo. omo ooa. moo. cmc mmc. :ca. oca. ooc. amc. mmc. omo. coo. moo. moo. ooc. cac. aac. moc. coo. omo. oac. mmc. mac. ooc. moo. mmc mmc. omo. «cc. aoc. ooc. moc. ooc. ooc. ooc. mmc. mca. amc. zoo. omo. mmo. mac. ooc. ooc. .mum «um All flaw .mum .dum .ummmmxmaxmmmauw moo. Hao. omo. Hmo. ooc. ooc. mac. ooc. Hwo. omo. mmo. maa. moc. aoc. omo. Nmo. «IQ ooo. Nuo mHqu onomH mqm<8 mom mus «mow. hm moccc. moccc. omccc. omacc. omacc. ommcc. mmcc. mnoo. omcc. caac. onac. ammo. mamo. Ncoc. oNoc. mmoc. hobo: mhmm OB ldHHaz dd popes 11 “ NHo. omo. moa. mcc. mac. occ. ccc. ooc. mac. amc. mcc. omo. mmc. aoc. omo. ooc. omo. ooc. ooc. ooc. :nc. coo. mac. coc. ccc. aoc. aoc. aoc. omo. m c. amo. m c. ooc. acm. mmm. _aum _Hnm .qmugmlqagmmMamz mHmNA¢z< MNHm ooc. coc. ooc. ooc. omc. oo:. .dum :3 mm on on mm «mm mma onomH mqmde co cma am no No No am oa oa o m c m N a a am ma m m a .maz «mm. OEdB moccc. moccc. omccc. omacc. omacc. ommcc. mocc. oocc. omcc. caac. omac. amoc. mamc. «ooc. omoc. omoc.. uo>ou .mmmmmmflwflmm Ga popoaaao TABLE V ULTRASONIC VIBRATION METHOD PIPETTE ANALXSIS OF MATERIAL TREATED PERCENTAGE BY WEIGHT cat 0 Po HmmeNmHmOV‘O m mmhofi N a»: 0;: Hrfi ,4 . communwoduw c5~oaL3C:H OQW'NamH‘nmwN 0‘ .0 o ..6£:N HCDHO‘A :SwH HH H 1.3:.1 Bwoommmwmnom .HNwwfimfii SSHH 9.1-2. :OOMfi-‘JOBN .B_-.-.J. 6. % & L 6. 0. 9 2 3 5:3. 5 O 1 1 .6 u .6 o 1 9 6 3 O 9 N QMMVWN V‘memflc 1N mmzozmomnomnd I Noon mmmma o oonHH : E: 95.3 110.0 107. 121.1 12 10 113.1 12 TABLE V (Continued) ULTRASONIC VIBRATION METHOD PIPETTE ANALYSIS OF MATERIAL TREATED PERCENTAGE BY WEIGHT 6 Perce t ('1 NNB-zmetwaONN | O nadmmommmmmflm H H H «.mommmmmmmom h mmw an: \oHO\ \0 HH H 8'67? “88.3 11n¢ooomommmw h.wmmmmummmflm HH H 8i.5 J o o .000... mammmcmmmwamHH g H g'ommmmmmommomom ' M H mmmHonmwmm m HON HH Bhommmsmww2H m 1.3NHm00mNmONHquo I m m 1 HaN qwgm03mwNHm N O H (\xod'd’V‘WMH Cg (INDONHOx (D j mNQMHMOOBD¢MO I Q C . O O O O . O . O . N mmmowmoaHmH ”0 HHH omeNOONNONm m .oooooooooo .. é ¢moonggoamH ' 4 Hmmanmenor-Hvdo HA4de 2: 4 HCV-‘JODmNUWO ‘4' HOMO!“ m H \oxnoooomm \OOCDWO‘xb-QMGWQ mHmmMNHHooo HH000000000 00000000000 0 O O O O O I O o O I 13 TABLE V (Continued) ULTRASONIC VIBRATION METHOD PIPETTE ANALXSIS OF MATERIAL TREATED PERCENTAGE BY HEIGHT Percent e T;me Diameter in mnnmgm 3:... Tim... 33:3 11:; 21:2 2:] .11 fies... 'dmommmmoHammNm c\‘)0\€fiI\-0‘(\1-:f. N 0N HO 0 . O O o o c o o o o 0 HH H 100.3 &momOOHmmanNH H HHH HHOMWC‘OHFNOHO 029.00.00.00... COWWCOH‘QJ N (“1". QWmH H 581% 103.2 :mmmmmmmnmmmwoj: W00C0‘fi-‘7-3-33Hm0 :49 ,. mBNHmmmwamm ‘: o o o o e o o o o 0 H fi:d\020\\n(\N a“? co HmmH m B:O;m3. . Q . 0902020: . OHOMNMN flSHHH B ammN-a' MUM-fl: HMBMHHMmoHNdO HN3N‘A Hmzwmwmo Hmmm H wmwmom mNNHwowmmNmmmw: N3HNWH¢x\nF\NHr-‘IOOO mammHHooooooooo ooooooooooooooo .oooopooooooooo 10 15 The percentage was calculated by subtracting the weight of the material in the sample larger than 0.0625 mm from the original sample of 1.000 gram size. This value was used to calculate all of the percentages for the certain sample. This results in the value of a certain size representing the percentage of material of this size in the total weight of all the material which is less than 0.0625 mm in diameter. In short, the percentage value represents the percent of material in the silt and clay sizes only. The cumulative percentage for each sample was obtained by adding each of the percentages for each sample to the percentages above it (Table VI). Data Interpretation In examining the portion of the sample larger than 0.0625 mm (Table III), it is evident that the disaggregation method was successful on some of the samples. Sample C, the bituminous shale, shows a definite decrease in the amount of sand particles which varies indirectly with the length of treatment. Sample D, the Saginaw shale, indicates that most, if not all, of the silt and clay particles have been sepa- rated from the sand particles. The results obtained by treating sample E, the petroliferous shale, indicates that most, if not all, of the silt and clay particles have been separated from the sand particles. The results of sample H, the Antrim shale, indicates that the majority of the silt TABLE VI ULTRASONIC VIBRATION METHOD PIPETTE ANALYSIS OF MATERIAL TREATED- CUMULATIVE PERCENTAGES 21 I B-2 HNONb-G) MCOCD iiootooofl}... Hundmumamma Hdmedemomw .OCOCOCIOUOO wamwmmozmmdm Hammawmwwma omflmnmoflzmdm . O O C C O C O O O Q I waanmmmouNmn Hmmnmnwwmmm HH 5mmm®NMHOHHO 00000000... momflomamw H SmmwnmmmmoSH HHH O ooomcnoxou-Lam £W\O®®O\QNNN HHHH mmmBMNMMdeNNH .ooooooooos... (DHHmeHCONwNmMH Hmddmwbbmmoozfi A 1 mmmownaHom . g 0 O O O O I O O QQMHWNBHMO szwnwwmmm & 112.0 106.“ 1 102.0 100.0 109.5 10 113.1 HN-ifmeVW Hmm NNHQOQW¢figgg$ SJHNMHmMMNHHoo wQMNHHOOOOOOOO oooooooooooooo ..ooosoooosooo M TABLE VI (Continued) ULTRASONIC VIBRATION METHOD PIPETTE ANALYSIS OF MATERIAL TREATED CUMULATIVE PERCENTAGES Dia- meter Time in Milli- me er N3HMHMOQO®0 Numdmwummm o 0 ' If: :mo‘mxommr-GHNQ H HrI Min, Sec, “sommmzommw .QOOOOOOIOO gwmdonammwm Humanmmmwwm “gowmnammmm ..ooooooooo woommmaomo: Hmmmdmmmwww ONHmzmwmeommmH ..ooooooo coco. mmMMNNHmWNBmOHM Hmmznmmmmmmmmm “003mm0Hommmmzp .OOOOOCIOOIOOOO Hoowmwadowommmm Hummamwwwwommma :mmmmHmmddwmwzo .gosooooooooooo “gmomwomwwwmzmw Hmmmzmmummmmww Hnmmmammmmdmn . Q 0 I O O O O O O O O O wmmumzommmanm Hmmnmwwmmwww meWb-OOQWMB-OO .o.soeosooooo (n-fl‘NOB-(DOMNb-(OHN HNMMJWNQQCDQQ ommmsmmmuu¢u .0... '&:ommnmmmom: HNNM\0500\O\O\ wwm gummg HMBMHH m HNdO H m Smemm Hmam N‘fiO Lemmas H mom 000m “39333? w m - Seammammmaflaooo mdMNHHOOOOOOOOO ooooooooooooooo ...ooosoooooooo N TABLE VI (Continued) UUTRASONIC VIBRATION METHOD PIPETTE ANALYSIS OF MATERIAL TREATED CUMULATIVE PERCENTAGES 1mm 2:1 Nl I :1: ;1 Diameter in om2m3mmmflflmzoom ..oooo.ooo.ooo. Nmomwnwmmdewmo Hmmmdmmmmmmmamg dmmuammmozmumNN ..sosososooo..o 0‘5.(\\Ol\-(\ mqmHaaflszo Oomamz MQonmDNm EDHmm E 0 TABLE XV PERCHLORIC ACID METHOD WEIGHT AND PERCENTAGE OF SAMPLE IARGER THAN 0.0625 mm Original Sample Weight ip grgmp 30.000 30.000 30.000 24.000 25.000 25.000 20.000 18.000 Weight of Sample Larger than 0.0625 mm 111 grams a 5.965 2.h07 1.211 1.362 5.670 5.980 0.006 1.723 Percentage Larger than .219éaissa_ 19-9 8.0 a 5 22 23 2 9 muwflfl O 35 36 D s re t The disaggregation method consisted of heating the beaker and contents slowly. The perchloric acid was given off as a white vapor and the nitric acid was given off as nitrogen dioxide. It was essential to use a hood with a ‘strong exhaust system to draw off the fumes. When there was very little liquid remaining, water was added to the beaker and allowed to evaporate. Water was added to each beaker several times. This process took about 72 hours of slow heating to complete. Pipette Analysis The procedure followed was the same as the procedure used in the pipette analysis following disaggregation by the mortar and pestle method, except that the sample was wet sieved only (Table XVI). Data Analysis The procedure followed was the same as that described in the data analysis of the mortar and pestle method. Data Interpretation Upon examining the percentage larger than 0.0625 mm in Table XV, it is evident that disaggregation was not very successful on sample E, the petroliferous shale. Sample A, 37 3N0” cmc. ch mac. ch. Hmc. cmc. mmc wmc. 32c. mac. mmc. cmc. mac. amc. :nc. cmc. mac. ccc. mmc. mac. Hec mmc. ago. «do. c. emc. «no. 0 c. Hac. cmc. mcc. Hmc mac. mac. ccc. mac aac” mzH. mac. wmo. mm mm a: an Hm cH Hm cH cH m n a m N H H Hm MH 3 mm m cm H cm H mm .oom H: 4mm oaHB wzdmu 2H BmUHM3.QMBommmOUZD momem: QHU< OHqumDmmm H>N mqmda owo. wo. wo. C3! mzX mnm<9 mm mm a: mm Hm mH Hm mH cH m m a m m H H Hm mH .3 a mm m cm. H mm H mm no the Marshall sandstone, and sample F, the siltstone, still have a high percentage of material larger than 0.0625 mm, but since these two rocks are coarser grained, disaggregation may be complete. All of the remainder of the samples have a small percentage of sand particles, which indicates that dis- aggregation has been successful. The variation in percentages as shown in Tables XIX and XX is little with the exception of sample G-where the 'error is slightly over five percent. PERCENTAGE TABLE XIX PERCHLORIC ACID METHOD Height in Centi- meter in Milli- Dia~ ml 6| kd MI 9| 0| m! :5. 52"Mig. SgcI meters ——h meters 000 00...... O mmgommdmmszNH m omNmNNMJQMHHHQN m HH 4® ommmmmmmmmmommwm .0000. &NNOHHNMNNNMMNNM HHHHHHH g NCV:ADSWDOAOrdF“OWD ax F1“). 0 e e o e o o o o . HMNNH¢3NWMMHHH o HHHHH o .ooooeoeeoo «wwounvnifififiFfithfi HH 0\ mmmommwnmomm4a m 1h.8 lh.1 .g...eoooeeOOo mwommWW-S’NNHHNQ mmOQOHMNwdedr H H m 12.1 22.8 NHMHBmHmNaim someone-o 0 CD cmmnxo manna N N 8 H (I) H H 12.5 10.9 10.7 “HWHNHWQWN-fiwwéfilw mmammmmmmmmmmnma ®\O\ON:T mmmm: HHMaMHH m HHNm Hm m 33 N470) HNQ‘ \ONVN mgflmm ooocoooooooommm NNHHHHHHHHHH wmwwmm mNNHmommmnmmmw: Nzfiwmflmmmwfifiooo wgmmflaooooooooo ooooooooooooooo .geeooeooeooooe TABLE XX PERCHLORIC ACID METHOD CUMULATIVE PERCENTAGE afl 0| fid h" OI Ln ml A Time fig; M49. 809. Height in meters Centi- meter in Milli- meters D13- 0 mnmvuao: Nuxxo caooxom . O O O O C O O O O O I C O O ‘00 MO ONQ) monnmmdxooo O\ H m: WWW cab-0000 O\O\O\O\O\ Od’H-fiOQNmmHJ-fifimm 0.000.000.0000. NJBBQCNWCDHC'VOQNW HNC'WWNQCDCDQQQQSS \Ofi-mmaomemNzoml—l 0.000000000000- NQNNMOO\\OOWO\NWK\H H©®03033HB®HNMM 000.000.00.000. HQNOHHanI—ljwumo memmbhmoommcxmmg \ m N30” MHWO\O\NK\C\ e o o o N O\ .0 awn HN o o e e e e o e :MHBNme-if‘OF-Q :MWNNCDK)C)O\O\O\O\O\ HON®®33WON®3®O . O O C O O O C . O O . O C . Nd'm-fid'mexmmH-imbm HMWWWBBCDQmO‘mCha \n-d‘NO‘.l—‘NV\\O\'\HN®OO‘ oooooooooeooo NMWWJHWHCDNWO HCQMJW\O\OI\I\®CDO\O\ 5 97. 100.3 “\OHNWWNCod'womNWCO Cece-0000000000 @03NO0WHNNwmm-fl'm HNm-znwmfiflwmefi .0625 .ouuz .0312 .0221 .0156 .0110 .0078 .0055 .0039 .00276 .00195 .00138 .00098 .00069 .00009~ CONCLUSIONS For the purposes of drawing accurate conclusions from the results, we shall consider complete disaggregation to be composed of two parts, primary disaggregation and secon- dary disaggregation. Primary disaggregation shall be defined as separating the particles larger in diameter than 0.0625 mm (Table XXI). Secondary disaggregation shall be defined as separating the particles smaller in diameter than 0.0625 mm (Refer to the cumulative curves of the samples). The cumulative curves of sample A rock type show that the perchloric acid method was much more successful in primary disaggregation than any of the other methods. The perchloric acid method was also most effective in secondary disaggregation. The cumulative curves of sample B show that the per- chloric acid method was most successful in primary disag- gregation, with the potassium hydroxide method second. The potassium hydroxide method and the perchloric acid method were about equally successful in secondary disaggregation. The cumulative curves of sample 0 show that the per- chloric acid method and the 15 minute vibration method were equally successful in primary disaggregation. The 10 minute vibration method was most effective in secondary dis- aggregation with the 15 minute vibration method second. 43 an The perchloric acid method was sixth out of seven in effectiveness. The cumulative curves of sample D show that all three vibration methods and the perchloric acid method were successful in primary disaggregation. The vibration methods were most successful in secondary disaggregation. The cumulative curves of sample E show that the 15 minute vibration method was most successful in primary dis- aggregation. The 5 and 10 minute vibration methods and the potassium hydroxide method were about equally effective, but less so than the 15 minute vibration method. The vibration methods were the most successful in secondary dis- aggregation with the potassium hydroxide method the least effective. The cumulative curves of sample F show that the perchloric acid method was much more successful in primary disaggregation than any of the other methods.. The three vibration methods and the perchloric acid method were about equally effective in secondary disaggregation. The cumulative curves of sample G show that the per- chloric acid method was much more successful in primary disaggregation than any of the other methods. The three vibration treatments were most successful in secondary dis- aggregation with the perchloric acid method second. An examination of the cumulative curves of sample H shows the 10 and 15 minute vibration methods and the per- chloric acid method to be about equally successful in primary ‘45 disaggregation. The cumulative curves show the potassium hydroxide method as the most successful, with the vibration methods second and the perchloric acid method last in secon- dary disaggregation. The ultrasonic vibration method was successful in primary disaggregation in four of the shale samples. This method was successful in secondary disaggregation in four of the shale: and in the siltstone. The mortar and pestle method and the oak board method were not successful in either primary or secondary disag- gregation. The potassium hydroxide method was surprisingly un- successful. It was successful in primary disaggregation in only one shale sample and in secondary disaggregation in only two shale samples. The perchloric acid method was the most successful of all the methods in primary disaggregation. It was successful in primary disaggregation in five of the shale samples and in both the sandstone and siltstone samples. This method was successful in secondary disaggregation in two of the shale samples and in both the sandstone and siltstone samples. On the basis of the above results, the following con- clusions can be drawn: 1. If a sandstone or siltstone is to be disaggregated, the perchloric acid method should be used. 2. If a shale is to be fully disaggregated, the ultra- sonic vibration method should be used. However, if only primary disaggregation is desirei,the perchloric acid method is recommended. TABLE XXI PERCENTAGE OF SAMPLE LARGER THAN 0.0625 MILLIMETERS SAMPLE A Marshall Sandstone, Michigan 1-1 M-9 A-2 “9.2 A-3 5h.6 Perchloric acid 19.9 Potassium Hydroxide 56.5 SAMPLE B Glazed argillaceous shale, Leroy, New York B-l B-2 B-3 Perchloric acid Potassium Hydroxide 8 VVV mtxiu e e o e e UOWQU SAMPLE C , Bituminous shale, Ieroy, New York C-1 C-2 C-3 . Perchloric acid Potassium Hydroxide Oak Board Mortar and Pestle HM tvcnmjrthtu) O maoor-ono-o NM? SAMPLE D ' Saginaw shale, Michigan D-l Da2 D-3 Perchloric acid‘ Potassium Hydroxide h . o e o OVNOOJ tang) O SAMPLE E Petroliferous shale, Fossil, Wyo. E—l E—Z E—B Perchloric acid Potassium Hydroxide SAMPLE F Siltstone, Mexico F-l F—2 F-3 Perchloric acid Potassium Hydroxide SAMPLE G Carbonaceous shale, Moscow, New York Perchloric acid Potassium Hydroxide SAMPLE H ‘Antrim shale, Michigan H-l H~2 H-B Perchloric acid Potassium Hydroxide \JRNChO‘Os Uh.) CD\O\O O (IROWCD'Q U31? MNWVQ o WWWHQ w P4 to avocamwo O cnoumcnpa O\ A-3 A-l A-Z Potassium 4'7 CUMULATIVE CURVES FOR SAMPLE A O T. 2 .C 0 -l L- 0 0.. q to .4 D 0. ’ IOO_. Perchloric I o 9 48 CUMULATIVE CURVES FOR SAMPLE B / J / / /Potcssuum 49 CUMULATIVE CURVES FOR SAMPLE C mmooo. low I 00. 50 CUMULATIVE CURVES FOR SAMPLE D E 3 '57! W E .. m I O H G . 01 ‘0 O o. . - o \ \ E \ ‘0: \\ .‘i’ \ m \ E. ~55 .2 so .5. ‘5 o H :5 0. 4r L_ I I I I I A? I g, I 8° 8 8 e N o 1N3083d .22 Z. mmhmzda 51 CUMULATIVE CURVES FOR SAMPLE E 28.5ch ON 0 <1- .LNEIOHBd 8 Perchloric Potassium IOO F 52 CUMULATIVE CURVES FOR SAMPLE F I | I .0078 IA R I I .0625 53. CUMULATIVE CURVES FOR SAMPLE G .22 z. awhw2<5 mmmoo H .4 _ _ _ _ mrwwH .4 H _ .H IJ .16 nuoiIIII N16 £3328 0.3229. ON 0