Petrophysical Evaluation of Borehole Log Data for Characterization and 3D Modelling of Reservoirs to Reduce Uncertainties; A Case Study of K-Field Niger Delta.

Abstract

The study focuses on wireline log data for evaluation of petrophysical properties to build a Three-Dimensional static models within K field, in Niger Delta region using schlumberger Petrel and Techlog softwares. Suites of four geophysical well logs data obtained from the field were used. The study determined properties of the reservoir such as lithology, shale volume (Vsh) porosity (Φ), permeability (K), water saturation (Sw), net pay thickness, among others from well logs. Detailed petrophysical analysis revealed five reservoirs. Average reservoir parameters such as porosity (26.1%), volume of shale (4.6%), water saturation (26.52%), permeability (7138 md) and net gross (0.893) were derived from the petrophysical analysis of the delineated reservoirs. Each parameter was upscaled and the Properties including porosity, water saturation, permeability models have been generated and were distributed stochastically within the constructed 3D grid using Sequential Gaussian Random Simulation Function algorithms present in the software. Based on the interpretation and petrophysical analysis of the K field, it is recommended that Cased-Hole Density logs should be acquired in those wells without density logs to accurately estimate total porosity, Special consideration must be given to the acquisition of representative and useable Routine and Special Core Analysis (SCAL) data when drilling new wells in order to reduce uncertainties and validate the result of the wireline logging.