Oil Reservoir Permeability Estimation from Well Logging Data Using Statistical Methods (A Case Study: South Pars Oil Reservoir)
نویسندگان
چکیده
منابع مشابه
A committee machine approach for predicting permeability from well log data: a case study from a heterogeneous carbonate reservoir, Balal oil Field, Persian Gulf
Permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. This study proposes an improved and novel model for predicting permeability from conventional well log data. The methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...
متن کاملOil Reservoir Properties Estimation Using Neural Networks
This paper investigates the applicability as wel{ as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data, Our approach relies on JPL’s adjoint operators general purpose neural network code to determine the best suited architecture, We believe that results presented l; this work demonstrate that artificial neural ...
متن کاملStudy on Stochastic Flow in Low Permeability Sandstone Oil Reservoir
Reservoir porous medium is random, in terms of oil and gas for low permeability reservoirs. Consider the random nature of the reservoir will enable to improve the accuracy of numerical reservoir simulation. Based on extensive research, for the stochastic nature of the reservoir from the two aspects of physical simulation, numerical simulation, the relevant international studies were reviewed. T...
متن کاملPermeability Predication by using Capillary Pressure data in Carbonate Reservoir from Southern Iraqi oil field
Permeability and capillary pressures are important petrophysical properties. Permeability is one of the most important parameters for reservoir management and development. Capillary pressure data have been widely used in evaluating reservoir rock, sealing capacity, transition zone thickness, pay versus non pay, and absolute and relative permeability. We are working in this study modification tw...
متن کاملa committee machine approach for predicting permeability from well log data: a case study from a heterogeneous carbonate reservoir, balal oil field, persian gulf
permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. this study proposes an improved and novel model for predicting permeability from conventional well log data. the methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Civil Engineering Journal
سال: 2017
ISSN: 2476-3055
DOI: 10.28991/cej-030918