| 
					
					
					 Porosity
                from RESISTIVITY LOGS 
  CAUTION   The methods presented below provide a mechanism for analyzing ancient
                logs by computer. Experience has shown them to work well provided
                some control is exercised on the mud filtrate and water resistivity values upon which they depend. This is done by comparing results
                to cores or more modern log suites in the same formations nearby.
                When presented by computer, the results will not appear graphically
                to be any different or any less accurate than the most sophisticated
                multi-log analysis. Therefore, a warning note should be annotated
                on the results.
 
 These porosity methods also rely on a knowledge  of SXO or SW,
                which cannot usually be derived accurately prior to knowing the
                correct porosity. Thus, if no other porosity method is available,
                these methods could give misleading results, with porosity being
                too low in hydrocarbon bearing zones.
 
 
 
 References:
 1.  Electrical Resistivity Log as an Aid in
					Determining Some Reservoir Characteristics
 G.E. Archie, Journal of Petroleum Technology, 1941
 
 2. Resistivity of
					Brine Saturated Sands in Relation of Pore Geometry
 W.O. Winsauer, H.M. Shearin, P.H. Masson, and M.
					Williams. AIME, 1952
 
 3.
					The Microlog - A New Electrical Logging Method for Detailed
					Determinations of Permeable Beds
 
			
			      H.G. Dolll 
			
			AIME, 1950
 4. Microlaterolog
 H.G. Doll, 
			
			JPT, 1953
 
			
			
			
			 Porosity
                from Microlog Many older wells do not have porosity indicatimg
			logs, but may have a microlog. Porosity can be derived, but it
			should be calibrated against core or more modern logs in offset
			wells.
                The response equation is based on Archie's formation factor and
                water saturation equations.
 
 Calculate porosity from the microlog if there is positive separation.
 1: IF RES2 > RES1
 2: THEN PHIml = 0.614 ((RMF@FT * KML) ^ 0.61) / (R2 ^ 0.75)
 3: OTHERWISE PHIml = 0
 
 Where:
 KML = correction factor for mud cake effect (fractional)
 PHIml = porosity from microlog (fractional)
 RES1 = shallow microlog (1 inch) reading (ohm-m)
 RES2 = deep microlog (2in) reading (ohm-m)
 RMF@FT = mud filtrate resistivity (ohm-m)
 
 
  COMMENTS: No shale correction can be applied, so use caution. Since there
                is seldom any positive separation in really shaly sands, these
                will not usually cause any problem, except understate the potential
                of some shaly sands.
 
 This method works well in good hole conditions, and with medium
                to high porosity. It should be used only if no other porosity
                indicating log is available, which is common in wells drilled
                before 1957. More complicated programs are available which simulate
                the microlog butterfly chart, but this simpler formula works nearly
                as well.
 
 The chart and one such program are shown below.
 
				
				 Chart for Microlog Porosity Method
 
 
   FORTRAN Code for Microlog Porosity Method
 
                
                  |  RECOMMENDED
                    PARAMETERS: |  
                  | Mud
					Weight |  | KML |  
                  | lb/gal | kg/m3 | frac |  
                  | 8 | 1000 | 1.000 |  
                  | 10 | 1200 | 0.847 |  
                  | 11 | 1325 | 0.708 |  
                  | 12 | 1440 | 0.584 |  
                  | 13 | 1550 | 0.488 |  
                  | 14 | 1680 | 0.412 |  
                  | 16 | 1920 | 0.380 |  
                  | 18 | 2160 | 0.350 |  
				
			 NUMERICAL EXAMPLE: 1. Assume microlog data:
 RES1 = 3 ohm-m
 RES2 = 4 ohm-m
 RMF@FT = 1.0 ohm-m
 mud weight = 1200 kg/m3
 KML = 0.847
 PHIml = 0.614 * ((1.0 * 0.847) ^ 0.61) / (4 ^ 0.75) = 0.20
 
  Porosity
                From Shallow Resistivity Logs Porosity from proximity log, microlaterolog, microspherically
                focused log, spherically focused log, short normal, shallow
				induction, or shallow laterolog can be determined and is often used when no other porosity
                log is available. It can also be used to check microlog porosity
                if no other check is available.
                The response equation is based on Archie's formation factor and
				water saturation equations.
 
 4: PHIxo = (A / ((RXO / RMF@FT) * (SXO ^ N))) ^ (1 / M)
 
 Where:
 A = tortuosity exponent
 M = cementation exponent
 N = saturation exponent
 PHIxo = porosity derived from shallow resistivity device (fractional)
 RMF@FT = mud filtrate resistivity at formation temperature (ohm-m)
 RXO = resistivity from shallow resistivity device (ohm-m)
 SXO = water saturation in invaded zone (fractional)
 
 
  COMMENTS: No shale corrections are applied, so use caution.
				This method is a last resort, since an assumption about SXO must
				be made. SXO cannot be calculated for this method since it
				requires knowledge of porosity. Shale corrected versions of this
				equation can be created by inverting one of the shale corrected
				saturation equations.
 
 A nomograph for solving these equations is provided below.
 
				 Chart for Shallow Resistivity Porosity Method
 
				
			 RECOMMENDED
                PARAMETERS: Normal values for A, M, N and SXO
 for sandstone A = 0.62 M = 2.15 N = 2.00
 for carbonates A = 1.00 M = 2.00 N = 2.00
 for water zone SXO = 1.00
 for hydrocarbon zone with high porosity SXO = 0.60
 for hydrocarbon zone with medium porosity SXO = 0.70
 for hydrocarbon zone with low porosity SXO = 0.80
 for heavy oil and tar sands, SXO = SW = 0.10 to 0.30
 
				
			 NUMERICAL EXAMPLE: 1. Assume shallow resistivity data:
 RXO = 20 ohm-m
 RMF@FT = 1.0 ohm-m
 A = 0.62
 M = 2.15
 N = 2.00
 SXO = 1.00
 PHIxo = (0.62 / ((20.0 / 1.0) * (1.0 ^ 2.0))) ^ (1 / 2.15) = 0.20
 
 2. If zone was hydrocarbon bearing, assume:
 SXO = 0.70
 PHIxo = (0.62 / ((20.0 / 1.0) * (0.7 ^ 2.0))) ^ (1 / 2.15) = 0.28
 
 
 
  Porosity
                from Deep or Medium Resistivity Log This method can only be applied in water bearing zones, although
                correction for hydrocarbon content can be made if water saturation
                is reasonably well known from other sources, such as offset wells
                or capillary pressure data.The response equation is based on Archie's formation factor and
				water saturation equations.
 
 5: PHIrt = (A / ((RESD / RW@FT) * (SW ^ N))) ^ (1 / M)
 
 Where:
 A = tortuosity exponent
 M = cementation exponent
 N = saturation exponent
 PHIrt = porosity from deep resistivity (fractional)
 RESD = deep resistivity log reading (ohm-m)
 RW@FT = formation water resistivity (ohm-m)
 SW = water saturation in un-invaded zone (fractional)
 
 
  COMMENTS: No shale corrections are applied, so use caution. This method
                is not usually used in hydrocarbon zones and is an absolute last
                resort. The result is often used in a porosity playback log
				(with SW = 1.00) to
                look for possible hydrocarbon zones by observing the separation
                between PHIrt and the other porosity logs. Shale corrected
				methods may be created from the various shale corrected
				saturation equations.
 
 A nomograph to solve these equations is provided below.
 
				
				 Chart for Deep Resistivity Porosity Method
 
 
				
			 RECOMMENDED
                PARAMETERS: Normal values for A, M, N and SW:
 for sandstone A = 0.62 M = 2.15 N = 2.00
 for carbonates A = 1.00 M = 2.00 N = 2.00
 for water zones SW = 1.00
 for hydrocarbon zone with high porosity SW = 0.20
 for hydrocarbon zone with medium porosity SW = 0.40
 for hydrocarbons zone with low porosity SW = 0.60
 
				
			 NUMERICAL EXAMPLE: 1. Assume deep resistivity data:
 RESD = 5.0 ohm-m
 RW@FT = 0.25 ohm-m
 A = 0.62
 M = 2.15
 N = 2.00
 SW = 1.00
 PHIrt = (0.62 / ((5.0 / 0.25) * (1.0 ^ 2.0)) ^ (1 / 2.15) = 0.20
 
 If SW = 0.40
 PHIrt = (0.62 / ((5.0 / 0.25) * (0.4 ^ 2.0))) ^ (1 / 2.15) = 0.46
 
 2. This last result suggests the zone could not be hydrocarbon
                bearing, otherwise the RESD value was incorrectly picked. Assume
                RESD = 50, then;
 PHIrt = (0.62 / ((50 / 0.25) * (0.4 ^ 2.0))) ^ (1 / 2.15) = 0.16
 
 This is a more reasonable result.
 
 
 
			
			
			 ESTIMATING SXO and SW The methods presented in this Chapter provide a mechanism for analyzing ancient
                logs by computer. Experience has shown them to work well provided
                some control is exercised on the mud filtrate and water resistivity
                values upon which they depend. This is done by comparing results
                to cores or more modern log suites in the same formations nearby.
                When presented by computer, the results will not appear graphically
                to be any different or any less accurate than the most sophisticated
                multi-log analysis. Therefore, a warning note should be annotated
                on the results.
 
 These porosity methods also rely on a knowledge of SXO or SW,
                which cannot usually be derived accurately prior to knowing the
                correct porosity. Thus, if no other porosity method is available,
                these methods could give misleading results, with porosity being
                too low in hydrocarbon bearing zones.
 
 If approximate porosity is known, water saturation (SW) can be
                estimated from the Buckle's PHIxSW method or the resistivity ratio method:
 6:
                SW = KBUCKL / PHIestimated
 
				
				
				
			 PARAMETERS: 
				Sandstones
				                 Carbonates              KBUCKL 
				 Very fine
				grain            Chalky                          0.120 
				 Fine grain
				                  Cryptocrystalline           0.060 
				 Medium grain
				             Intercrystalline             0.040 
				 Coarse grain
				              Sucrosic                        0.020 
				 Conglomerate
				            Fine vuggy                    0.010 
				 Unconsolidated           Coarse vuggy                0.005 
				 Fractured
				                   Fractured                      0.001 
				Use these
				parameters only if no other source exists. 
			Invaded zone saturation (SXO) can
                be estimated from:7:
                SXO = (SW) ^ (1 / 5)
 
 Where:
 PHIestimated = estimated effective porosity (fractional)
 KBUCKL = porosity saturation product (fractional)
 SW = water saturation (fractional)
 SXO = invaded zone water saturation (fractional)
 
 This approach could be more accurate than the guidelines provided
                earlier for estimating SW and SXO. Shale corrections are not included,
                so care must be exercised in shaly sands.
 
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