During drilling operations, it is essential to keep the wellbore pressure within the maximum value of the fracture pressure and minimum value of the pore pressure of the formation. To handle this challenge, the fracture pressure of the formation must be known as it is significant to determining the mud window design. This study developed a correlation that could predict the formation fracture pressure in the Niger Delta deep offshore field. Two different fields were considered for this model named Field 1 and 2. From these fields, fracture pressure data were gotten from 21 wells during leak off test (LOT) at different casing shoe depths. While carrying-out the analysis of data, assumptions were made that the formations throughout the Niger Delta basin obeys the principle of horizontality. Also, that the fracture pressure at same depth is uniform with the pressure at other location in the Delta. Scatter plot was used as the tool for the data analysis. A line of best fit was drawn to arrive at the correlation. This correlation has an R2 coefficient values of 0.9969. In conclusion, the correlation gotten from this study for predicting fracture pressure has shown to align with some data sets from the Niger Delta fields with very little variation. This can be used for planning of further drilling operations in the Niger Delta to make it easier, faster and more economical.
Adewale, D. (2019), Lecture on Pore Pressure and Fracture Gradient Relationship [PowerPoint Slides]. Institute of Petroleum Studies, Uniport.
Kankanamge, T. (2013). Pore Pressure and Fracture Pressure Modelling With-Offset Well Data and Its Application To-Surface Casing Design of a Development Well Deep Panuke Gas Pool Offshore Nova Scotia.
Hubbert, M. K., & Willis, D. G. (1957). Mechanics of Hydraulic Fracturing.
Eaton, B. A. (1969). Fracture Gradient Prediction and Its Application in Oilfield Operations. Journal of Petroleum Technology, 21(10), 1353–1360. doi:10.2118/2163-pa.
Constant, D. W., & Bourgoyne Jr, A. T. (1988). Fracture-gradient prediction for offshore wells. SPE drilling engineering, 3(02), 136-140.
Avasthi, J. M., Goodman, H. E., & Jansson, R. P. (2000, January). Acquisition, Calibration, and Use of the In Situ Stress Data for Oil and Gas Well Construction and Production. In SPE Rocky Mountain Regional/Low-Permeability Reservoirs Symposium and Exhibition. Society of Petroleum Engineers.
Zhang, Y., & Zhang, J. (2017). Lithology-dependent minimum horizontal stress and in-situ stress estimate. Tectonophysics, 703, 1-8.
Matthews, W. R., & Kelly J (1967). How to predict form pressure and fracture gradient from electric and sonic logs. Oil and Gas J 65:92-106.
Ajienka, J., Egbon, F., & Onwuemena, U. (2009, January). Deep offshore fracture pressure prediction in the Niger Delta-A new approach. In Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers.
Ajienka J, Nwokeji B (1988) Evaluating the performance of onshore fracture pressure gradient correlations in the Niger Delta. University of Port Harcourt.
Reginald-Ugwuadu, O. G., Alabi, T. I., Eze, J. O., & Ebisike, R. C. (2014, August). Fracture Gradient Estimation in the Niger Delta-A Practical and Statistical Approach. In SPE Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers.
Oloruntobi, O., Falugba, O., Ekanem-Attah, O., Awa, C., & Butt, S. (2020). The Niger Delta basin fracture pressure prediction. Environmental Earth Sciences, 79(13), 1-11.
Springer (2007). Fracture gradient prediction; an overview and an improved method https://link.springer.com/article/10.1007/s12182-017-0182-1.
Drilling Manual (2017). Leak Off Test procedure and calculation sheet https://www.drillingmanual.com/2017/12/leak-off-test-procedures.
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