Constraining Surface Interpolations Using Elastic Plate Bending Solutions with Applications to Geologic Folding

Mathematical Geosciences - Tập 41 - Trang 1-14 - 2008
J. Ole Kaven1, Rafe Mazzeo2, David D. Pollard1
1Department of Geological and Environmental Sciences, Stanford University, Stanford, USA
2Department of Mathematics, Stanford University, Stanford, USA

Tóm tắt

Geologic surface interpolations can be augmented by adding physical constraints to available data. Here a method is outlined that allows one to constrain surface interpolations for two geologic surfaces based on the apparent thickness of the bounded layer. The resulting interpolation scheme is posed as a quadratic programming in which the interpolation of each surface is solved approximately and subject to linear constraints on the apparent thickness. Results can be further improved by adding cubic polynomials to the interpolating functions to regularize the problem. In one-dimensional interpolations of geologic folds, the method improves the results over unconstrained interpolations by eliminating interpenetrations (negative apparent thicknesses) and regions of small apparent thicknesses. In a two-dimensional application for the monocline at Raplee Ridge, UT, the capability of this method is illustrated by overcoming interpenetration of two surfaces, the tops of the Mendenhall oil sand and the Unnamed limestone. The minimum curvature spline interpolation is applied to topographic data taken from an airborne laser swath mapping (ALSM) survey and interpolated by detailed geologic mapping. This method can be extended to allow for multiple layers.

Tài liệu tham khảo

Briggs I (1974) Machine contouring using minimum curvature. Geophysics 39(1):39–48 Caers J (2000) Adding local accuracy to direct sequential simulation. Math Geol 32(7):815–850 Dirkse S, Ferris M (1995) The PATH solver: a non-monotone stabilization scheme for mixed complementarity problems. Optim Methods Softw 5:123–156 Dubrule O, Kostov C (1986) An interpolation method taking into account inequality constraints: I. Methodology. Math Geol 18(1):33–51 Ferris M, Kanzow C, Munson T (1999) Feasible decent algorithms for mixed complementarity problems. Math Program 86(3):475–497 Gill P, Murray W, Wright M (1981) Practical optimization. Academic, New York. 401 p Goovaerts P (1997) Geostatistics for natural resource evaluation. Oxford University Press, New York. 496 p Gregory H, Moore R (1931) The Kaiparowits regions, a geographic and geologic reconnaissance of parts of Utah and Arizona. US Geol Surv Prof Paper, 164 Kimeldorf G, Wahba G (1971) Some results on Tchebycheffian spline functions. J Math Anal Appl 33(1):82–95 Kirkland D, Anderson R (1970) Microfolding in the Castile and Todilto evaporites, Texas and New Mexico. Geol Soc Am Bull 81:3259–3282 Kostov C, Dubrule O (1986) An interpolation method taking into account inequality constraints: II. Practical approach. Math Geol 18(1):53–73 Mallet JL (1989) Discrete smooth interpolation. ACM Trans Graph 8(2):121–144 Mansfield E (1989) The bending and stretching of plates. Cambridge, New York. 228 p Matheron G (1981) Splines and kriging: Syracuse University. Geol Contrib 8:77–95 Mitás̆ová H, Mitás̆ L (1993) Interpolation by regularization spline with tension: I. Theory and implementation. Math Geol 25(6):641–655 Mynatt I, Hilley G, Pollard D (2007) Inferring fault characteristics using fold geometry constrained by airborne laser swath mapping at Raplee Ridge, UT. Geophys Res Lett 34:L16315. doi:10.1029/2007GL030548 Nocedal J, Wright S (2006) Numerical optimization. Springer, New York. 636 p O’Sullivan R (1965) Geology of the Cedar Mesa-Boundary Butte area, San Juan County, Utah. US Geol Surv Bull B1186:1–128 Ralph D (1994) Global convergence of damped Newton’s method for nonsmooth equation via the PATH search. Math Oper Res 19(2):352–389 Sandwell DT (1987) Biharmonic spline interpolation of GEOS-3 and SEASAT altimeter data. Geophys Res Lett 14(2):139–142 Smith W, Wessel P (1990) Gridding with continuous curvature splines in tension. Geophysics 55(3):293–305 Szilard R (2004) Theories and applications of plate analysis: classical, numerical and engineering methods. Wiley, Hoboken. 1056 p Timoshenko S, Woinowsky-Krieger S (1968) Theory of plates and shells. McGraw-Hill, New York. 580 p Wahba G (1978) Improper priors, spline smoothing and the problem of guarding against model errors in regression. J R Stat Soc 40(3):364–372 Watson G (1984) Smoothing and interpolations by kriging and with splines. Math Geol 16(6):601–615 Wessel P, Bercovici D (1998) Interpolation with splines in tension: a Green’s function approach. Math Geol 30(1):77–93