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Chuong 6c prediction of fracture gradients

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Petroleum Engineering 405 Drilling Engineering * Well Drilling Engineering Prediction of Fracture Gradients Dr DO QUANG KHANH * Prediction of Fracture Gradients Well Planning Theoretical Fracture Grad[.]

Well Drilling Engineering Prediction of Fracture Gradients Dr DO QUANG KHANH Prediction of Fracture Gradients  Well Planning  Theoretical Fracture Gradient Determination  Hubbert & Willis  Matthews & Kelly  Ben Eaton  Comparison of Results  Experimental Frac Grad Determination  Leak-off Tests  Lost Circulation Read: Applied Drilling Engineering, Ch HW # Well Planning  Safe drilling practices require that the following be considered when planning a well:  Pore pressure determination  Fracture gradient determination  Casing setting depth selection  Casing design  Mud Design, H2S considerations  Contingency planning Fig 7.21 Formation Pressure and Matrix Stress Given: Well depth is 14,000 ft Formation pore pressure expressed in equivalent mud weight is 9.2 lb/gal Overburden stress is 1.00 psi/ft Calculate: Pore pressure, psi/ft , at 14,000 ft Pore pressure, psi, at 14,000 ft Matrix stress, psi/ft Matrix stress, psi Formation Pressure and Matrix Stress S =S PP +  pore overburden stress (psi) = pressure (psi) + matrix stress (psi) Fracture Gradient Determination In order to avoid lost circulation while drilling it is important to know the variation of fracture gradient with depth Leak-off tests represent an experimental approach to fracture gradient determination Below are listed and discussed four approaches to calculating the fracture gradient Fracture Gradient Determination Hubbert & Willis: where Fmin 1 2P   1  3 D  Fmax  P  1   D F = fracture gradient, psi/ft P = pore pressure gradient, psi/ft D 10 19 Example Ben Eaton: P S P      F   *  D  D   1  S ? D  ? 20

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