| Title | Estimation of Static Formation Temperatures in Geothermal and Oil Well by Inversion of Logged Temperatures |
|---|---|
| Authors | Olea-Gonzalez, Ulises; Garcia-Gutierrez, Alfonso |
| Year | 2008 |
| Conference | Geothermal Resources Council Transactions |
| Keywords | Formation Temperature; Numerical Simulation; Inverse Problem; Levenberg-Marquardt; Cognitive Models; Artificial Intelligence |
| Abstract | Three inverse methods are used to obtain static formation temperatures in geothermal and oil wells. The methods include: (a) A least squares optimization algorithm or Levenberg- Marquardt method (MLM); (b) A Proportional Integral Control method (PI), and (c) An Artificial Intelligence method (IA). Results obtained using data from an oil well show that it is feasible to predict SFT reasonably by these methods however the IA method predicts lower temperatures. SFT´s obtained by the MLM and PI methods also compare well with simpler methods like the Horner and spherical-radial flow method. |