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Application of multiple-point geostatistics on groundwater flow and transport in media with complex geological heterogeneity: lessons learnt and remaining challenges

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Academic year: 2021

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(1)Application Of Multiple-Point Geostatistics On Groundwater Flow And Transport In Media With Complex Geological Heterogeneity Lessons Learnt And Remaining Challenges. Marijke Huysmans & Alain Dassargues. 11-7-2014. pag. 1.

(2) Applications of multiple-point geostatistics on groundwater problems Ronayne et al., 2010. Dell’ Arciprete et al., 2012. Comunian et al., 2011. Feyen and Caers, 2006 Le Coz et al., 2011 11-7-2014. pag. 2.

(3) 2750 air permeability measurements. Project overview Complex geological heterogeneity. Field work. Groundwater modelling Permeability simulations. Training image. 11-7-2014. pag. 3.

(4) Project overview: Validation and applications Pumping test. •. •. •. Groundwater tracer test. Aquifer thermal energy storage. Possemiers et al., in prep. 11-7-2014. pag. 4.

(5) Lessons learnt. 11-7-2014. pag. 5.

(6) Lesson 1 Be careful when using multiple-point geostatistics if you’re a perfectionist. 11-7-2014. pag. 6.

(7) Multiple-point geostatistics • Elegant • Smart • Simple • Incorporate geological heterogeneity in a realistic way • Way of communicating with geologists. 11-7-2014. pag. 7.

(8) The “perfect” 3D training image. SBED. Comunian et al., 2012. 11-7-2014. pag. 8.

(9) The “perfect” model. 11-7-2014. pag. 9.

(10) Lesson 1: Be careful when using multiple-point geostatistics if you’re a perfectionist. 11-7-2014. pag. 10.

(11) Lesson 2: Showing a training image is dangerous. 11-7-2014. pag. 11.

(12) Showing a training image is dangerous. versus. Explicit = easy to criticize 11-7-2014. pag. 12.

(13) How good should my training image be? • Compare to geological reality or to variogram based/uniform approaches? • What is the effect of having a “slightly off” training image? • Sensitivity to selection of training image? • Verification of training images by data • Groundwater problems: data scarcity, no seismic campaigns 11-7-2014. pag. 13.

(14) Lesson 3: Real-world field cases ≠ synthetic cases. 11-7-2014. pag. 14.

(15) Real-world field cases ≠ synthetic cases • Many synthetic and semi-synthetic applications of multiplepoint geostatistics • Promising technique • Convincing results. • Real-world field case • •. Frustration Disappointment. 11-7-2014. pag. 15.

(16) Real-world field cases ≠ synthetic cases •. Other features than fine-scale heterogeneity play an important role – – – – – –. Variations of pumping discharge rates Wells screened in more than one geological layer Boundary conditions, e.g. interaction with surface water features Sampling issues Various uncertain factors …. 11-7-2014. pag. 16.

(17) Real-world field cases ≠ synthetic cases • Validation using in situ measured groundwater levels and concentrations • Encouragement of real world applications • Is it worth incorporating fine scale geological heterogeneity in groundwater problems or are other features (boundary conditions, data quality, …) more important for correct predictions?. 11-7-2014. pag. 17.

(18) Conclusions • Training images don’t need to be perfect – How good should it be? – Sensitivity of groundwater models to TI? – Validation of TI? • Encouragement of real-world applications – Realistic idea of potential of MPS in practical groundwater applications. 11-7-2014. pag. 18.

(19) Thank you Marijke Huysmans and Alain Dassargues Marijke.Huysmans@vub.ac.be. 11-7-2014. pag. 19.

(20)

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