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Estimating Oil Reservoir Permeability and Porosity from Two Interacting Wells
Author(s) -
Sutawanir Sutawanir,
Agus Yodi Gunawan,
Anggita Septiani,
Iskandar Fahmi,
Nina Fitriyati,
Rini Marwati
Publication year - 2013
Publication title -
journal of mathematical and fundamental sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 12
eISSN - 2337-5760
pISSN - 2338-5510
DOI - 10.5614/j.math.fund.sci.2013.45.2.4
Subject(s) - porosity , permeability (electromagnetism) , laplace transform , ensemble kalman filter , petroleum reservoir , reservoir simulation , kalman filter , petroleum engineering , thermal diffusivity , reservoir engineering , soil science , geology , mechanics , mathematics , geotechnical engineering , statistics , extended kalman filter , thermodynamics , mathematical analysis , chemistry , petroleum , physics , biochemistry , membrane , paleontology
The Ensemble Kalman Filter (EnKF) can be used as a method to estimate reservoir parameters, such as permeability and porosity. These parameters play an important role in characterizing reservoir performance. The EnKF is a sequential estimation method that uses th e parameters at t - 1 (called prior) to estimate the parameters at t adjusted by observations at t (called posterior). In this paper, the EnKF was used to es timate the reservoir parameters for the case of a linear flow of two interacting pr oduction-injection oil wells. The Laplace transform was used to obtain an analytical solution of the diffusivity equation. A state space representation was generate d using the analytical solution. A simulation study showed that the propos ed method can be used successfully to estimate the reservoir parameters u sing well-pressure observations.

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