Electronic Supplement to
A Regional View of Urban Sedimentary Basins in Northern California based on Oil Industry Compressional-Wave Velocity and Density Logs

By Thomas M. Brocher

Table A1 provides locations and other basic information for the oil industry boreholes. Boreholes are grouped by sedimentary basin, and from north to south within each basin grouping. Boreholes are identified by Operator, Leasename, Well Number, Oil Field Name, and year of completion. After borehole latitude and longitude, the depth of penetration of the borehole is given in meters. This information was taken from the Well History Control System (WHCS) One-line File, an on-line digital well-log database leased from Petroleum Information by the U. S. Geological Survey Office of Energy Resources at Denver, in 1997. After depth of penetration, the page number in Brabb et al. (2001) providing stratigraphic and lithologic information for the boreholes is given. The USGS Open-File Report in which logs for the borehole are published is also identified (either Brocher et al., 1997, or Tiballi and Brocher, 1998). Note that additional information for each borehole (including Township, Range, and Section number, borehole elevation, and information on other types of logs run in the borehole) is published in Brocher et al. (1997) and Tiballi and Brocher (1998), available online.

Table A2 provides linear and non-linear regressions for each borehole log listed in Table A1. Boreholes are grouped by sedimentary basin, and from north to south within each basin grouping. Logs are further subdivided: those that sample only the deeper sections of the boreholes (Deep Logs) versus logs that sample the shallower sections of the boreholes (Shallow Logs). Boreholes are identified by Leasename and Well Number. After well identification, the next two columns in the table identify the depth range used for linear and non-linear regressions. The next columns show the Vp (km/s) or density (kg/m3) at the surface and the linear velocity or density gradient derived from linear regression of the well logs, as well as the R2 of the linear regression fit to the data. The next columns provide the coefficients for a nonlinear regression using either, Vp (km/s) = a + bz + cz2, or density (kg/m3) = a + bz + cz2, where z is in km. The next columns provide the R2 of the fit to the data provided by these non-linear regressions followed by the difference in R2 provided by the linear and non-linear regressions. A positive difference indicates that the linear regression provided a better fit to the data. Values of a = 1.5 km/s and 1.550 kg/m3 were assumed for the non-linear regressions. Logs excluded from Tables 1 and 3 of the main text are identified.

Figures A1 to A6 illustrate the borehole logs for all wells listed in Table A1. Boreholes are grouped by sedimentary basin, and from north to south within each grouping. Boreholes are identified by Leasename, Well Number, Township, Range, and Section number, and Oil Field Name. The average linear regression fit for each basin is plotted with each well log.

 


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