Improvement of the Fast Simulation of Gamma-Gamma Density Measurement in Vertical and High Angle Wells
J. Liu, Z. Liu, F. Zhang, S. Liu, Y. Xu, Z. Liu and M. Hu
Event name: 81st EAGE Conference and Exhibition 2019
Session: Poster: Interpretation Development & Case Studies
Publication date: 03 June 2019
Info: Extended abstract, PDF ( 715.78Kb )
Price: € 20
The fast modeling of gamma-gamma density well logging is essential for the inversion techniques of formation properties, which is usually carried out jointly with other logging measurements and it also can help to adjust the initial geological model in real time during drilling. The Monte Carlo method is the foremost numerical technique to simulate gamma-gamma density logging measurement. But due to its low calculation speed, it is not sufficient for inversion or real-time forward modeling. An algorithm to achieve the fast simulation of density logging response is introduced. In the algorithm, a new approximation model is proposed to enable the forward modeling of density logging more accurate and efficient. The Monte Carlo simulation method is utilized as benchmarks to validate the performance of the fast simulation method. The density logging responses under vertical and horizontal well conditions are simulated. The results of the fast simulation show a good agreement with the Monte Carlo simulations. In addition, the comparison of density imaging data also confirmed the accuracy of the fast simulation method.