Page 87 - Statistics and Data Analysis in Geology
P. 87

In this chapter we will consider ways of  examining data that are characterized
             by their position along a single line.  That is, they form a sequence, and the posi-
             tion at which a data point occurs within the sequence is important.  Data sets of
             this type are common in geology, and include measured successions of lithologies,
             geochemical or mineralogical assays along traverses or drill holes, electric logs of
             oil wells, and chart recordings from instruments. Also in this general category are
             measurements separated by the flow of  time, such as a sequence of  water quality
             determinations at a river station, or the production history of  a flowing gas well.
             Techniques for examining data having a single positional  characteristic tradition-
             ally are considered part of the field of time-series analysis, although we will take the
             broader view that time and space relationships can be considered interchangeably.

              Geologic Measurements in Sequences

             Before proceeding  to some geological examples and appropriate methods of  ex-
             amination, we must consider the nature of  different types of  sequences apt to be
             encountered by geologists.  At  one extreme, we may have a record which is quite
             precise, both in the variable which is measured and in the scale along which suc-
             cessive observations are located.  Examples might include an electrical resistivity
             log from a borehole, or the production history of  a commercial well.  In the for-
             mer, the variable is a measured attribute expressed in ohms (R) and the scale is
             measured in feet. In the latter example, the variable again is a measured attribute,
             barrels (bbl) of  oil, and the scale is measured in days, months, or years.  There are
              two important characteristics in either record.  First, the variable being measured
             is expressed in units of  an interval or ratio scale; 1000 bbl of  oil is twice as large
              a quantity as 500 bbl, and a measurement of  10 R is ten times the resistance  of
              1 SZ.  Second, the scales along which the data points are located also are expressed
   82   83   84   85   86   87   88   89   90   91   92