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<br />grain-size characteristics with specific yield or specific <br />retention. <br /> <br />Data used in this study were obtained by labora- <br />tory analyses of undisturbed samples of consolidated- <br />rock core from hole CI or CIA. Core samples were <br />selected from carefully stored intact segments of drill <br />core (Raforth and Jehn, 1990), sealed injeweler's wax, <br />and transported to the laboratory where each sample <br />was sawed into three 3/4 in.-thick disks for analyses. <br />Core analyses consisted of porosity and specific- <br />retention determinations on three specimens from each <br />depth sampled and grain-size analyses on the samples <br />that were subsequently disaggregated. Mean porosity <br />and specific retention were calculated from the three <br />specimens for each sample, and specific yield was cal- <br />culated by use of equation 1. Porosity was determined <br />by use of a helium gas-expansion porosimeter and a <br />mercury-immersion displacement porometer; specific <br />retention was calculated from moisture-retention data <br />at 13.5 bars in a porous-plate apparatus (American <br />Society for Testing and Materials, 1977 ; McWhorter <br />and Garcia, 1990). A pore pressure of 13.5 bars was <br />chosen for the test because specific yields of clastic <br />sediments are very close to equilibrium at this and <br /> <br />higher pressures. Grain-size data were obtained from <br />mechanical sieve analyses. <br />Least-squares linear regression analysis of <br />specific-yield and specific-retention data on various <br />grain-size characteristics indicated that the best regres- <br />sion equations (those that had the largest coefficient of <br />correlation and smallest standard error of estimate) all <br />had specific retention as the dependent variable. These <br />regression equations were used in preference to the less <br />v.:ell-correlated regression eqllations that had specific <br />YIeld as the dependent variable because specific yield <br />can be calculated from specific retention by use of <br />equation I and porosity data obtained from geophysical <br />logs or laboratory analyses. <br />Five characteristics of a grain-size distribution <br />were found to correlate with specific retention. <br />These characteristics are the D50' D70 minus D50' and <br />D90 diameters and the P.0625 and P.125 percentages. <br />The D50 diameter is the 50th-percentile grain diameter <br />(diameter at which 50 percent of the sample is finer) <br />(fig. 3). The D70 and D90 diameters are the 70th- and <br />90th-percentile grain diameters. The P.0625 and <br />P.125 percentages are the percent of the sample that is <br />finer than 0.0625 and 0.125 mm, respectively. <br /> <br />,.~ ' ,,,,,.., "" <br /> <br />" ---------------- <br /> <br /> <br />a: <br />w <br />Z <br />u: <br />Ul <br />z <br /><i' <br />a:w <br />l!lN <br />u.U5 <br />00 <br />Ww <br />l!l~ <br />~~ <br />zo <br />wz <br />u- <br />a:z <br />w<( <br />"-I <br />~f- <br />f= <br />::s <br />::> <br />::; <br />::> <br />u <br /> <br />P.12S <br />10 <br />p.oe25 <br /> <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />so <br /> <br />10 <br /> <br />60 <br /> <br />50 <br /> <br />40 <br /> <br />30 <br /> <br />20 <br /> <br />o <br />0.01 <br /> <br />I <br />I <br />.0625 0.1,125 <br /> <br />, 050 <br /> <br />0,0 Dgo <br /> <br />10 <br /> <br />100 <br /> <br />GRAIN SI;1:E, IN MIlliMETERS <br />Figure 3. Grain.size distribution for sample 51. <br /> <br />SPECIFIC.YIELD AND SPECIFIC.RETENTlON ESTIMATES FROM GRAIN-SIZE DATA 5 <br />