Rock model

The sources of the saline fluids are argued by some to be water-rock interaction based on the presence of abundant chloride in mineral phases, fluid inclusions, and the incorporation of water into minerals as ways to increase sahnity. The strong similarity of fluids and mineral chemistry, especially for parameters such as strontium isotopes, is cited as evidence for the water-rock model of origin. 

Conclaves F. T. T. (2002) Organic and isotope geochemistry of the Early Cretaceous rift sequence in the Camamu Basin., Brazil paleolimnolgical inferences and source rock models. Org. Geochem. 33(1), 67-81. 

Fig. 2-7. Dependence of the maximum speed of the gas bubbles in the porous rock model on radius r of the rock particles.

The task for the DECOVALEX research teams was to predict the THM effects in the buffer material inside the test pit and in the surrounding rock, both during excavation of the test pit and the heater testing. The test case was divided into three main tasks Tasks 2A, 2B. and 2C. Task 2A was to predict the HM effects in the rock cau,sed by the excavation of the test pit. Geometrical, mechanical and hydraulic rock properties, as well as hydraulic conditions before excavation, were given to the research teams, and they were asked to predict water inflow distribution in the test pit. Task 2B was a model calibration of rock and fracture properties and the hydromechanical boundary conditions, based on actual measured results predicted in Task 2A. Task 2C was to predict the THM effects in the rock and buffer during the heating experiment. The rock model was presumed to have properties based on the calibration in Task 2B. with the calibrated permeability distribution in the near-field rock. At... 

Figure 9 shows the variation in total pressure as function of time in the section of E2. The measured total pressure increased with time. Although the value around 1000 days is permissible, the process differs from the monitored, especially before 400 days. One of the reasons of the difference might be the existence of initial gaps within the bentonite blocks or those between the blocks and host rock. Modelling of initial gaps may be necessary. 

Dutch repository designs in rock salt and in argillaceous rock (models 6 and 7)... 

Based on the method illustrated in Figure 5, resonance frequencies calculated for seven White Noise excitations are shown in Figure 6. Firstly, it can been seen that, the resonance frequency of soft rock model (1 model) is smaller than that of hard rock model (2 model). Then another observation is that, as test goes on (along with the increasing excitation intensity), the resonance frequency of two model slopes decreases. The sharp drop begins in White 5 excitation, which indicates a sudden change of the internal structure of the model slope, when the excitation intensity increases up to 0.5 g. 

The soft rock model slope produces stronger horizontal responses than the hard rock model slope, with a ratio of exceeding more than 2.0 at the model top. The ratios also show that the lithology-dependent response becomes more obvious as the elevation increases. The phenomena do not change much with the increasing excitation intensity increases, although the internal structure of the two model slopes is deteriorating as described in section 3.1. 

Figure 8. Response of the soft rock model (1 model) to horizontal shakings (a) PHA, (b) 7 pha-...

The soft rock model slope produces stronger responses than the hard rock model slope, especially in the upper halves of two models. 

Rock is a multicomponent material with a complicated structure. Consequently, it is difficult to formulate mathematical rock models that adequately describe physical rock properties of rocks. Rock models simpUiy the subject rock in order to explain the dominant dependencies and give a mathematical formulation for interpretation techniques. Most rock models are developed for a specific... 

Implementing tortuosity x and porosity 4> of the model gives the specific electrical resistivity of the water-saturated rock model ... 

Doveton, J.H., 1986. Log Analysis of Subsurface Geology. John Wiley Sons, New York. Drury, M.J., Jessop, A.M., 1983. The estimation of rock thermal conductivity from mineral content— an assessment of techniques. Zbl. Geol. PaliionL Teil 1, 35-48. 1983 H 1/2. Duffaut, K., Landro, M., 2007. Vp/Vs ratio versus differential stress and rock consolidation a comparison between rock models and time-lapse AVO data. Geophysics 72 (5), C81-C94. Dunham, R.J., 1962. Classification of carbonate rocks according to depositional texture. In Ham, W.E. (Ed.), Classification of Carbonate Rocks—A Symposium. AAPG Memoirs, 1, American Association of Petroleum Geologists, Tulsa OK/USA, pp. 108-121. 

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