Open AccessPrediction of Fracture Pressure in Niger Delta Deep Offshore
Author(s) -
Kehinde E. Ajayi,
Azubuike Hope Amadi,
Victor D. Ola,
Raphael E. Obonin,
Nnaemeka Achara
Publication year - 2021
Publication title -
european journal of engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2736-576X
DOI - 10.24018/ejeng.2021.6.2.2353
Subject(s) - niger delta , casing , submarine pipeline , fracture (geology) , geology , drilling , offshore drilling , petroleum engineering , correlation coefficient , oil field , geotechnical engineering , delta , engineering , mathematics , statistics , mechanical engineering , aerospace engineering
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.