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					 Crain's Usage Rules For Porosity MethodS The answers for all the porosity solutions will vary, and in some
                cases be unreasonable or impossible to calculate due to lack of
                data. In order of preference, we would choose:
 
 
  BEST MODELS -- Use whenever possible 1. Shale Corrected Density Neutron Complex Lithology Crossplot 
					Model aka "Complex Lith".
 Preferred because equations are simple, requires no 
					assumptions, is unaffected by mineral mixtures, gas 
					correction is easy.
					The Meta/Kwik 
					spreadsheet for this model is available at
					
					
					Downloads and 
					Spreadsheets.
 
 2. NMR Porosity Model
 Negligible effect from minerals or shale. Limited use in 
					very rough boreholes.
 
 
 
  OTHER CROSSPLOT MODELS --- Use only within  
					limitations noted on eqch page. 3. Sonic Neutron Crossplot
 Limitations: OK in carbonates or in bad hole where
                density is not acceptable, must be shale corrected in shaly 
					sands.
 
 4. Sonic Density Crossplot
 Limitations: gas
                	correction difficult, not as accurate as complex lith.
 
 5. Density Neutron Shaly Sand Crossplot Models
 Limitations: only for shaly quartz/feldspar sands, matrix 
					offset model needed if other minerals present, complex lith 
					model is easier.
 
 6. Density Neutron Bulk Volume 
					Water Crossplot Models
 Limitations: only for shaly quartz/feldspar sands, matrix 
					offset model needed if other minerals present, complex lith 
					model is easier. Also needs dry clay properties.
 
 
  SINGLE LOG MODELS -- Use only if no 
					crossplot method is possible 7. Sonic Log Corrected for Shale
 Limitations: VERY sensitive to mineral, gas, compaction, and 
					shale parameter assumptions.
 
 8. Neutron Log Corrected for Shale
 Limitations: VERY sensitive to gas and shale parameter 
					assumptions.
 
 9. Density Log Corrected for Shale
 
					Limitations: works in good borehole only, 
					VERY sensitive to mineral and gas parameter assumptions.
 10. Microresistivity, shallow or deep resistivity
 Very sensitive to mud properties and invasion profike. 
					Microlog sensitive to borehole breakout.
 Use in ancient wells that have no porosity logs.
 
 11. Maximun Porosity Model
 Use as last resort in sand shale sequences. DO NOT use in 
					carbonates.
 
 12. Non-Porosity Triggers
 Use if needed in anhydrite, coal, gypsum, salt, etc
 
 NOTE:
					Apply Porosity Trimming constraints to
                selected method.
 
 
				 Computed Results for Mixed Lithology Example from six
				different porosity models, compared
 to core analysis porosity.
 
			
			All porosity calculations need to be
			calibrated to core data at some point, usually at an early stage in
			an analysis project. Log analysis in isolation from other data is
			pointless and dangerous. 
                
  Trimming POROSITY 
			results Material balance for porosity is needed to prevent too high a
                porosity in very shaly sections or in bad hole conditions. 
			Negative values must also be trimmed off to prevent errors in 
			further steps in the calculation sequence..
 1: IF PHIe < 0
 2: THEN PHIe = 0
 3: IF PHIe > PHIMAX * (1.00 - Vsh)
 4: THEN PHIe = PHIMAX * (1.00 - Vsh)
 
 Where:
 PHIe = porosity from any method (fractional)
 Vsh = shale content from any method (fractional)
 PHIMAX = maximum expected porosity in clean rock (fractional)
 
 Don't fail to use this routine. It makes computer output look
                pretty nice even with poor logs.
 
 
  RECOMMENDED PARAMETERS: Normal values for PHIMAX:
 Very high porosity sandstone (and tar sands) PHIMAX = 0.36 to
			0.42
 High to medium porosity PHIMAX = 0.25 to 0.36
 Low or shaly medium porosity PHIMAX = 0.18 to 0.25
 Very low porosity, PHIMAX = 0.10 to 0.18
 
 
			
 Normally you will settle upon a method that suits you and the
                zone under consideration. You will not have time to compute results
                from all methods. Use the above list as a guide to reduce your
                effort and to gain a better chance for success on the first pass.
                Log analysis is seldom satisfactory on the first pass in new areas,
                so do not be bashful about trying several methods.
                Then keep a record of which methods worked best in which areas.
 
 
 
			
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