Verify interpolation for temps >373℃

[softwareengineerprogrammer]

Interpolation-based functions may yield bad values for temps significantly beyond 373℃, we should check that this isn't the case where applicable, including:

1. Check heat->elec conversion efficiency is not ≳1 (=1 is Carnot efficiency, impossible)
   1. UtilEff_func in GeoPHIRESUtils is only consumed in HIP-RA-X, and is constrained to temps <373; Update Utilization Efficiency at T>374C #140
   2. Appears to be calculated implicitly along with re-injection temperature; double-flash plant example I happen to be looking at the moment is ~24%:

      GEOPHIRES-X/src/geophires_x/SurfacePlantDoubleFlash.py

      Lines 109 to 119 in 10694bf

      	model.wellbores.Tinj.value, ReinjTemp, etau = SurfacePlant.reinjection_temperature(self, model,
      	self.ambient_temperature.value, self.TenteringPP.value, model.wellbores.Tinj.value,
      	C01, C11, C21, D01, D11, D21, C02, C12, C22, D02, D12, D22)
      	# calculate electricity & heat production
      	self.ElectricityProduced.value, self.HeatExtracted.value, self.HeatProduced.value, HeatExtractedTowardsElectricity = \
      	SurfacePlant.electricity_heat_production(self, self.enduse_option.value, self.Availability.value, etau,
      	model.wellbores.nprod.value, model.wellbores.prodwellflowrate.value,
      	model.reserv.cpwater.value, model.wellbores.ProducedTemperature.value,
      	model.wellbores.Tinj.value, ReinjTemp, self.T_chp_bottom.value,
      	self.enduse_efficiency_factor.value, self.chp_fraction.value)

   3. https://geothermal-energy-journal.springeropen.com/articles/10.1186/s40517-019-0119-6
2. cost of drilliing: tracking in Depth-dependent Well cost correlation for depth >7km, T>250 #129
3. pumping
4. friction (Ramey model)