Pore Pressure Prediction And Pressure Regime Evaluation, Role And Contribution In Well Planning And Formation Evaluation Process, Gulf Of Suez Oil Fields - Egypt

2010 ◽  
Author(s):  
Saber Moustafa Selim ◽  
Bassem El-Sayed Badawy ◽  
khalaf Abd Elaal Toghan
Keyword(s):  
Pore Pressure ◽  
Evaluation Process ◽  
Oil Fields ◽  
Gulf Of Suez ◽  
Formation Evaluation ◽  
Pore Pressure Prediction ◽  
Pressure Regime

Role and Contribution of Pressure Regime Evaluation in Well Planning and Formation Evaluation Process, Zeit Bay Field - Gulf of Suez, Egypt

2003 ◽  
Author(s):  
Saber Moustafa Selim ◽  
Bassem El-Sayed Badawy ◽  
Khaled Mohamed Abdullah ◽  
Mohamed Ayman Khorshid
Keyword(s):  
Evaluation Process ◽  
Gulf Of Suez ◽  
Formation Evaluation ◽  
Pressure Regime

scholarly journals Post Drill Pore Pressure Prediction for Geo-hazard Assessment of Offset Wells in Hamoru Field

2020 ◽  
Vol 17 (2) ◽  
pp. 97-103
Author(s):  
A. Ogbamikhumi ◽  
O.M. Hamid-Osazuwa ◽  
E.A. Imoru
Keyword(s):  
Pore Pressure ◽  
Hazard Assessment ◽  
Seismic Data ◽  
Field Analysis ◽  
Well Logs ◽  
Formation Pressure ◽  
Pore Pressure Prediction ◽  
Pressure Regime ◽  
Formation Pore Pressure ◽  
Subsurface Formation

Understanding the distribution and variation of subsurface formation pressure is key to preventing geo-hazards associated with drilling activities such as kicks and blow out. To assess and prevent such risk in drilling offset wells in the Hamoru field, prediction of pore pressure was done to understand the pressure regime of the field using well logs in the absence of seismic data. Two commonly used methods for formation pressure prediction; Bower’s and Eaton’s methods were adopted to predict pore pressure and determine the better of the two methods that will be more suitable for the field. The cross-plot of Vp against density disclosed that compaction disequilibrium is the prevalent overpressure mechanism. The prediction of Pore pressure with Eaton’s method gave results comparable to the acquired pressure in the field, typical of what is expected when compaction disequilibrium is the dominant overpressure mechanism. Since the result of Bower’s method over estimated formation pressure, Eaton’s method appears to be the better choice for predicting the formation pore pressure in the field. Analysis of the predicted pore pressure reveals the onset of overpressure at depth of 2.44 km. The formation pressure gradient ranges from 10.4 kPa/m to 15.2 kPa/m interpreted as mild to moderately over pressure. Keywords: Geohazard, over-pressure, Eaton’s method, Bower’s method, normal compaction trend

scholarly journals Estimation of overpressures from porosity based method : a theoretical approach applied to the central/coastal swamp depo-belts of the Niger delta basin

2017 ◽  
Vol 6 (1) ◽  
pp. 14
Author(s):  
Ubon Mkpese
Keyword(s):  
Bulk Density ◽  
Pore Pressure ◽  
Theoretical Approach ◽  
Niger Delta ◽  
Sonic Velocity ◽  
Pore Pressure Prediction ◽  
Formation Resistivity ◽  
Pressure Regime ◽  
Niger Delta Basin

The Depth-dependent compaction theory that variations in certain geophysical properties with depth; bulk density, formation resistivity together with sonic velocity being a reflection of the pressure regime is the basis for pore pressure prognosis study. Pore pressure prediction (PPP), when done accurately can be used to avert disaster and helps in safe drilling. A porosity-based model has been applied to predict overpressured zones in an onshore environment of the Niger delta basin. Zones with hard overpressures greater than a magnitude of 0.7 psi/ft are generally within 10000ft and below. Top of overpressures for studied wells ranges between 7000ft and 10000ft. Porosities in shale are of typical values ranging between 0.05 to 0.46. A robust concordance between PPP and MPP profiles for each of the wells validates the results here and confirms suitability of model to the studied area.

Combining porosity and resistivity logs for pore pressure prediction

2021 ◽  
pp. 108819
Author(s):  
Augustine Uhunoma Osarogiagbon ◽  
Olalere Oloruntobi ◽  
Faisal Khan ◽  
Ramachandran Venkatesan ◽  
Paul Gillard
Keyword(s):  
Pore Pressure ◽  
Resistivity Logs ◽  
Pore Pressure Prediction
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