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Seismic characterisation for geothermal energy prospecting

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Author: Huck, A. · Groot, P. de · Simmelink, E. · Vandeweijer, V.P. · Willemsen, A.
Institution: TNO Bouw en Ondergrond
Source:71st European Association of Geoscientists and Engineers Conference and Exhibition 2009, 8 June 2009 through 11 June 2009, Amsterdam, 4, 2292-2296
Identifier: 346449
Keywords: Geosciences · 3D seismic data · Characterisation · Fault system · High impedance · Impedance contrast · Optimal locations · Permeability barriers · Seismic datas · Seismic interpretation · Target levels · Urban development · Well data · Work-flows · Acoustic impedance measurement · Acoustics · Engineering exhibitions · Fracture · Jet pumps · Neural networks · Petroleum industry · Renewable energy resources · Sandstone · Seismic response · Seismic waves · Stratigraphy · Targets · Acoustic impedance


The city of The Hague intends to use geothermal energy to heat approx. 4000 houses in a planned urban development area called The Hague South-West. This paper describes the application of advanced seismic interpretation workflows to help positioning a geothermal doublet consisting of one injector - and one producer well. An existing 3D seismic data volume was reprocessed and inverted to acoustic impedance. The main objectives of the study were to predict the thickness of the target Rijswijk and Delft sandstones and to visualize faults and fractures that might act as permeability barriers between injector and producer. The inverted acoustic impedance volume revealed several layers of low and high impedances in and around the targeted sandstones in which lateral stratigraphic variations are observed. To visualize faults and fractures the seismic data were first filtered using two dip-steered filters Next a similarity volume and a neural network generated Fault Cube were produced and highlighted major and minor fault systems at target levels. The study results were used to assist in picking the optimal locations for the doublet. The lack of impedance contrasts and available well data prevented further quantitative work like predicting thickness and porosity of the target sandstones.