Formation Water Property Interpolation and Mapping from Wireline

Formation Water Property Interpolation and Mapping from Wireline Logs for the Table Rock Field in the Greater Green River Basin Patrick Fortson Hunt, Wallace and Associates LLC December 2, 2004

Purpose n n n Produce map of Table Rock field displaying location relative to political boundaries Combine township/range map with field map Interpolate formation properties between wells for areas where no data is available

Overall Goal n Determine if water saturated formations can be used as water injection zones for disposal of produced water

Southwestern Wyoming n Wastelandish and proud of it

Still beautiful despite its emptiness

n People are strange, when you’re a stranger

n Meteorites abound

Data Sources n n Wyoming Oil and Gas Conservation Commission Wyoming Geographical Information Sciences Center

Southwestern Wyoming Biggest city is Rock Springs – Pop. 23016

Well Files from WOGCC Data Available: n Production History n Well Logs n Formation Tops n Gas/Water Analysis n Perforation Intervals

Well Records

Lack of Data n Virtually no water analysis data

Table Rock Field

Table Rock Formations n n n Wasatch Fort Union Lance Fox Hills Lewis Almond Water Present

Wireline Logs n n Gamma Ray, SP, and Resistivity Log for Fox Hills Water Sand Other logs give density and neutron porosity, sonic Deep Resistivity SP Deflection

Static Spontaneous Potential for Determining Water Resistivity and Salinity n Rmf to Rmfeq using formation temperature

SSP-Rweq Nomograph n n SP deflection to Rmfeq/Rweq ratio using formation temperature Ratio with Rmfeq to get Rweq

n Rweq to Rw

n n Rw to formation temperature Follow curve to Na. Cl concentration in ppm

Problems with Salinity n n Special software needed for viewing large raster images of logs Only four wells have enough viewable data to determine salinity Not enough points for good analysis Geostatistical Analyst will not run with fewer than 10 data points

Depth to Formation Top and Thickness n n n Depth useful for determining general structure of formation and degree of folding Thickness gives idea of pinchouts and volume estimations Only Fox Hills and Lewis Formations had data for good interpolation

Spatial Analyst n n n Analysis Mask sets boundary of interpolation Problems with Kriging Inverse Distance Weighted includes Null data points

Geostatistical Analyst

n Same general shape as Fox Hills

n Possible bad data at bottom

n Thickens towards top

More Work… n n Use Arc. Scene to develop 3 D geologic models of formations Try to find more data to acquire salinity

Conclusions n n n GIS illuminated well placement and field location Geostatistical Analyst provides insight into formation property trends Free data is good but not good enough