Objective
The aim of this project is to demonstrate the ability of the mutlidisciplinary approach to improve the technique for drilling high enthalpy geothermal reservoirs, with a consequent reduction of the mining risk and direct costs of drilling operations.
Electro-Magnetic transmission of continuous down hole measurements While Drilling (ENWD), and reference measurements, associated with an appropriate Bottom Hole Assembly, will be mutually applied to provide:
- better control of directional drilling in the kick-off phase;
- high quality seismic tomography of the deep reservoirs in the polimetamorphic basement;
- more accurate definition of the well trajectory especially in the deep hot part of the wells, by replacing the cumbersome and costly orientation measurements with the innovative SWD automatic monitoring system.
At present ENEL operates, by itself six drilling rig and completes around 10 deep geothermal wells per year for a total drilled depth of 40000 m. Directional wells represent some 70% of all development well. Typically, a cluster of wells, around 3500m in true vertical depth, are drilled from the same pad to reach high temperature reservoirs in a polimetamorphic tectonic complex.
Two ENEL drill sites while a vertical well and one directional well are drilled, will be used to demonstrate the combined application of the following, which have already been used successfully and independently :
EMWD, which by emission of EM pulses propagated through the earth, allows the transmission of rock bit orientation parameters from bottom hole to surface at the speed of EM waves. The demonstration of EMWD directional drilling will be made for a technical and economical evaluation in two ENEL wells, with existing equipment. Real time monitoring of bit orientation, downhole static temperature andtemperature while drilling will be measured to optimise the depth of the kick-off point. EMSWD, relates to the application of the EMWD capabilities to record downhole seismic reference signal and to store it in large solid-state memories until retrieval when the Bottom Hole Assembly is pulled out of the well during standard drilling operation. At the end of a drilling run, an adapted surface computer will read the data stored in the memory and will provide the synchronisation with the surface seismic data recording system. The manufacturing of the EMSWD system will be completed in 12 months.
SWDI, a combination of specialised techniques including multiradial walkway seismic acquisition using the drill bit as seismic source, synchronised with downhole seismic sensor. Seismic imaging using the reverse walkaway concept in order to obtain a fine definition of the drilling target for the subsequent deviated wells of the cluster will be produced. Seismic tomographic inversion will be used to determine an accurate velocity model of the subsurface around the vertical well. This velocity model will be applied as input parameters in drill bit location procedure.
For the two vertical wells of the selected drill sites a multiline reverse walkaway seismic surveys will be carried out using the EMWD-SWD system, surface geophones array distributed along three lines each about 2500 m long and lay out at 120 deg. C each other and standard seismic recording system. EM-SWD tools recording will be done in the 12"1/4 portion of the well, for a minimal drilled depth of 200 m, or until the temperature is too high. Surface seismic recording will continue at two-three months for each site.
SWDM, of the drill-bit noise, performed by using a suitable surface geophones array and an integrated acquisition system permanently installed at the well site. On site drill-bit spatial location is determined by processing modules which combine SWD data with the subsurface velocity model previously obtained.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- engineering and technology environmental engineering energy and fuels renewable energy geothermal energy
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Coordinator
56122 Pisa
Italy
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