• Zayra Pérez UT EOS-DTH Ltda
  • German Y. Ojeda Ecopetrol S.A. – Instituto Colombiano del Petróleo, A.A. 4185 Bucaramanga, Santander, Colombia
  • Darwin Mateus Ecopetrol S.A. – Instituto Colombiano del Petróleo, A.A. 4185 Bucaramanga, Santander, Colombia
Keywords: pore pressure, interval velocity, 3D seismic presión de poro, velocidades intervalo, sísmica 3D


On pore pressure calculations it is common to obtain a profile in a wellbore, which is then extrapolated toward offset wells. This practice might generate mistakes on pore pressure measurements, since geological conditions may change from a wellbore to another, even into the same basin. Therefore, it is important to use other tools which allow engineers not only to detect and estimate in an indirect way overpressure zones, but also to keep a lateral tracking of possible changes that may affect those values in the different formations. Taking into account this situation, we applied a methodology that estimates formation pressure from 3D seismic velocities by using the Eaton method. First, we estimated formation pore pressure; then, we identified possible overpressure zones. Finally, those results obtained from seismic information were analyzed involving well logs and pore pressure tests, in order to compare real data with prediction based on seismic information from the Colombian foothill.


Bowers, G. (2002). Detecting high overpressure. The Leading Edge, 21(2), 174-177.

Eaton, B. A. (1975). The equation for geopressure prediction from well logs. SPE 5544 (Society of Petroleum Engineers of AIME, 1975)

Hottman, C. E. & Johnson, R. K., (1965). Estimation of formation pressures from log-derived shale properties. Journal of Petroleum Technology, 17, 717-722.

Kan, T., Kilsdonik, B. & West C, (1999). 3-D Geopressure analysis in the deepwater Gulf of México, The Leading Edge, 18 (4), 502-508

Mouchet, J. & Mitchell, A. (1989). Abnormal pressure while drilling, Elf Aquitaine, Boussens 1989.

Muñoz, D. M. (2005). Técnicas en la predicción y monitoreo de geopresiones durante la perforación, Knowledge Sys- tems Inc. Stafford, Texas. 22pp.

Pennebaker, E. S. (1968). Seismic data indicate depth, magnitude of abnormal pressure. World Oil, 166: 73-78.

Salinas, T. & Guerra, J. (2006). Estimación de presiones de poro basadas en velocidades sísmicas. Informe Final, Eco- petrol S.A -Instituto Colombiano del Petróleo (ICP), 2006.

Sayers, C. M. (2006). An Introduction to Velocity-Based Pore-Pressure Estimation, The Leading Edge, 25(12), 1496-1500

Sayers, C. M., Lennert D. B. D., Nagy, Z. R. & Hooyman, P.J. (2006). Well-constrained seismic estimation of pore pressure with uncertainty, The Leading Edge, 25 (12), 1524-1526.

Sayers, C.M., Johnson, G. M. & Denyer, G. (2002). Predrill pore-pressure prediction using seismic data. Geophysics, 67 (4), 1286-1292.

Solano, Y., Uribe, R., Frydman, M., Saavedra, F. & Calderón,=. (2007). $ PRGL¿HG DSSURDFK WR SUHGLFW SRUH SUHVVXUH

Using the D exponent method: an example from the Car- bonera formation, Colombia. CT&F-Ciencia Tecnología y Futuro, 3 (3), 103-111.

Velásquez Cruz, D. & Espinosa, G. (2002). Análisis de presión de poro en la costa mexicana del Golfo, Instituto Mexicano del Petróleo. Trabajos Técnicos.

Yilmaz, O. (2001). Seismic Data Analysis: Processing, Inver- sion and Interpretation of Seismic Data: Society of Exploration Geophysicists, Investigations in Geophysics, 10.

How to Cite
Pérez, Z., Ojeda, G. Y., & Mateus, D. . (2009). ESTIMACIÓN DE PRESIÓN DE PORO A PARTIR DE VELOCIDADES SÍSMICAS. CT&F - Ciencia, Tecnología Y Futuro, 3(5), 7–17.


Download data is not yet available.
Scientific and Technological Research Articles
Crossref Cited-by logo