Spatial variability

Deformation (meteorology)

Engineering

Statistics

Geotechnical engineering

Applied mathematics

Petroleum engineering

Systems engineering

Groundwater recharge

Inverse

Calibration

Computer science

Inverse method

Geology

Oceanography

Estimation

Physics

Groundwater

Mathematics

Flow (mathematics)

Aquifer properties

Environmental science

Mathematical analysis

Soil science

Geometry

Inverse problem

Mechanics

Aquifer

Geostatistics

Gradual Deformation Method (GDM) is a geostatistical based inverse method developed since the end of the 90’s by L.Y. Hu and coworkers of the French Institute of Petroleum (IFP) for oil reservoir simulations. This method aims to calibrate reservoir stochastic simulations on existing experimental data (pressure transient, well production, water cut, …).It has been successfully applied to synthetic fields and real 3D oil fields. Though the method is applicable to subsurface hydrology, only few attempts were made.&lt;br&gt;The work presented here aims to show the applicability of GDM for the calibration of heterogeneous aquifer properties. After a first step, where we recall how GDM works, we apply it, in a second step, to the WIPP (Waste Isolation Pilot Plant, New Mexico, USA) site, namely to the calibration of the transmissivity of the Culebra Dolomite aquifer. The WIPP site is famous in the geostatistical community as it served, ten years ago, as a test case for the intercomparison of geostatistical models.&lt;br&gt

Gradual Deformation Method as a Geostatistical Based Inverse Method for the Estimation of Flow and Transport Parameters