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					 Porosity - Lithology Case History These
					case histories represent just a few of the possibilities for
					processing seismic inversion data to aobtain various
					attributes that help to represent the seismic data in terms
					of rock type, reservoir quality, and spmetimes fluid type.
 
					 Vp/Vs
					Ratio and Poisson's Ratioo Thedisplays
					below demonstrate this technique.
                A standard compressional seismic section is shown in the first
                illustration. The color code represents compressional interval
                velocity, determined from detailed velocity analysis. It can also
                be found from seismic inversion as described earlier. The shear
                wave seismic section is first stretched so that all reflections
                are displayed at compressional arrival times, then it is color
                coded to display shear interval velocity. The discreet interval
                velocity data is transformed into Poisson's ratio by the above
                equation and presented as a cross section, color coded in steps
                of Poisson's ratio.
 
				
				 Compressional wave inverted velocity section
 
				
				 Shear wave inverted velocity section
 
				
				 Poisson's ratio seismic section
 
				The
				light yellow color on the final plot probably indicates a gas
				sand which is not directly visible on either the seismic
				amplitude or velocity displays. Control of seismically derived
				Poisson's ratio data by comparison to well logs is complicated
				by the fact that the sonic and density log data is affected by
				mud filtrate invasion into gas zones. Thus the logs must be
				modeled for this effect before they can be used. This type of log modeling is called fluid replacement
                and is best accomplished using the log response equation.  
				A
                handy chart for determining lithology directly from Vc and Vs
                is shown below. 
				
				 Lithology from shear and compressional velocity
 
				
  Qualitative Porosity
				Indications The
                following illustration shows a porosity study based on inversion
                and calibration of porosity to the inverted acoustic impedance
                curves. Seismic shear data was not required for this work, but
                it would be helpful in a similar study in carbonate reservoirs.
 
				 Sand - shale porosity analysis from inverted acoustic impedance
                calibrated to well log data
 
				Determining
                which attribute or combination of attributes will correlate to
                reservoir properties may require some trial and error testing.
                There are more than 20 possible attributes and their permutations
                and combinations can be quite large. The usual choices are Vp/Vs,
                Poisson's ratio, instantaneous compressional amplitude, compressional/shear
                amplitude ratio, and other related combinations. In all cases,
                log modeling and quantitative log analysis will be required to
                control the inversions and attribute calibration. 
				There
                are many connecting links between the seismic and well logging
                domains. Both develop velocity, density, and lithologic relationships
                from their measured data. A synthetic view of seismic response
                can be made from well logs, as can the inverse process create
                a sonic log from seismic data. A clear understanding of the sources
                and definitions of acoustic velocity information, and the ability
                to communicate these differences, will go a long way toward integrating
                exploration and evaluation techniques. 
				Analysis
                and interpretation of this diverse suite of data leads to a petrophysical
                description of the reservoir. In many cases, rock and fluid properties
                can be inferred and mapped. When calibrated to "ground truth",
                meaningful exploration and development decisions can be made with
                less risk. However, if the calibration is not attempted or done
                poorly, the results are mere arm-waving that may increase the
                chance of failure. 
				Do
                the work. Integrate the geo-science disciplines. Check your work.
                You'll be a happy puppy after it's all over.
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