Time-Lapse Evaluation of Hydrocarbon Production Using Rock Properties and Attributes in Niger Delta
Journal: International Journal of Scientific Engineering and Science (Vol.1, No. 5)Publication Date: 2017-06-15
Authors : Ogbonna-Orji; O C.; Acra; E.J; Adiela; U.P;
Page : 5-10
Keywords : ;
Abstract
This research work was validated through fluid replacement modeling. 4D inversion of the Base and Monitor seismic volumes was performed to generate acoustic impedance volumes, from which attributes were extracted and analyzed in order to evaluate their relative changes in response to hydrocarbon production and subsequent replacement by brine. Analysis of these inverted extracted attributes from PH2_v2 and PH2 horizon slices, also presented Lambda-rho, Density, P-impedance and Poisson ratio as having the most significant 4D changes within the producing well locations, while Porosity and Vp/Vs ratio showed the least response. Other zones JCI and HC2, which could be possible hydrocarbon saturated sands was also observed on both iT2v2 and PH2 seismic horizons from the Base and Monitor seismic volumes as they exhibited F low acoustic impedance, lambda-rho, and density. These potential reservoir zones was therefore investigated for probable by-passed hydrocarbon prospect in the field. Therefore, rock properties and attribute analysis can give Geoscientists greater confidence towards understanding fluid movement and better reservoir characterization over time.
Other Latest Articles
- Bacteriological and Nutritional Qualities of Street – Vended Seafoods in Parts of Rivers State, Nigeria
- The ill-Posedness of the Cauchy Problem for the Periodic Novikov Equation
- Bioinformatic and empirical analysis of a gene encoding serine/threonine protein kinase regulated in response to chemical and biological fertilizers in two maize (Zea mays L.) cultivars
- THE POTENTIAL OF PESANTREN IN SUSTAINABLE RURAL DEVELOPMENT (Case Study: Pesantren Buntet in Rural Mertapada Kulon, Subdistrict Astana Japura, Regency Cirebon, Province West Java)
- A Genetic Approach for Optimized Routing of Fleet of Electric Vehicles
Last modified: 2017-07-04 15:16:27