ALY, S., FARAG, K., EWIEDA, H., MAHDY, A. (2019). POROSITY PREDICTION FROM THE POST-STACK SEISMIC INVERSION RESULTS OF THE SAND CHANNELS AT SIMIAN GAS FIELD, EGYPT'S OFFSHORE WEST NILE DELTA. test, 17(1), 167-174. doi: 10.21608/jegs.2019.402350
S.A. ALY; K.S.I. FARAG; H.F. EWIEDA; A.M.A. MAHDY. "POROSITY PREDICTION FROM THE POST-STACK SEISMIC INVERSION RESULTS OF THE SAND CHANNELS AT SIMIAN GAS FIELD, EGYPT'S OFFSHORE WEST NILE DELTA". test, 17, 1, 2019, 167-174. doi: 10.21608/jegs.2019.402350
ALY, S., FARAG, K., EWIEDA, H., MAHDY, A. (2019). 'POROSITY PREDICTION FROM THE POST-STACK SEISMIC INVERSION RESULTS OF THE SAND CHANNELS AT SIMIAN GAS FIELD, EGYPT'S OFFSHORE WEST NILE DELTA', test, 17(1), pp. 167-174. doi: 10.21608/jegs.2019.402350
ALY, S., FARAG, K., EWIEDA, H., MAHDY, A. POROSITY PREDICTION FROM THE POST-STACK SEISMIC INVERSION RESULTS OF THE SAND CHANNELS AT SIMIAN GAS FIELD, EGYPT'S OFFSHORE WEST NILE DELTA. test, 2019; 17(1): 167-174. doi: 10.21608/jegs.2019.402350

POROSITY PREDICTION FROM THE POST-STACK SEISMIC INVERSION RESULTS OF THE SAND CHANNELS AT SIMIAN GAS FIELD, EGYPT'S OFFSHORE WEST NILE DELTA

Journal of Egyptian Geophysical Society
Volume 17, Issue 1, 2019, Pages 167-174    PDF (1.12 M)
Document Type: Original Article
DOI: 10.21608/jegs.2019.402350
Authors
S.A. ALY1; K.S.I. FARAG1; H.F. EWIEDA2; A.M.A. MAHDY3
1Geophysics Department, Faculty of Science, Ain Shams University, Abbassia 11566,
2Tri Ocean Energy, Cairo, Egypt
3Geophysics Department, Faculty of Science, Ain Shams University, Abbassia 11566
Abstract
The study attempts to infer the characterization of subsurface reservoirs by enlightening the petrophysical properties prediction through the integration of petrophysical characteristic and the three-dimensional (3D) seismic observations at Simian gas field in the northern part of Egypt. This goal is accomplished using regression analysis on the seismic post stack inversion properties, a well-made relationship between the measured porosity log and the seismic inversion properties derived at the well location. After extraction the relationship, the porosity cube can be derived reasonably from the results of inversion properties. Being controlled by the physical properties and annotations at the well, the resulting porosity estimations from inversion properties are suitable for making reservoir management decisions. Finally, the predictable porosity can deliver a geologically realistic porosity distribution that helps to trace the reservoirs heterogeneities within the study area
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