Page 204 - Origin and Prediction of Abnormal Formation Pressures
P. 204

SEISMIC METHODS OF PRESSURE PREDICTION                                179

            well impedances.  Extensive testing proved that this  scalar,  which  varies  to  some extent
            with  space  and  time,  can  be  effectively used  to  generate  absolute  acoustic  impedances
            from  consistently  processed  seismic  data.  Velocity  information  is  then  extracted  from
            the impedances using the velocity-density transformation.

            Pore pressure and seismic amplitude versus offset (AVO)

               As  discussed  previously,  the  amplitude  of  the  seismic  reflection  is  influenced  by
            the reservoir pressure.  Moreover,  reservoir fluids  also  affect the  seismic  velocities.  The
            shear and compressional waves respond differently to reservoir fluids (and lithology), as
            well as to the reservoir pressure. These facts offer the opportunity to predict pressure and
            fluid content using  seismic  velocities.  Other  challenges  include  distinguishing  between
            the presence of overpressure and gas saturation from seismic response.  Some laboratory
            tests have been helpful in this regard (for example,  see Fig. 7-6).
               Lindsay and Towner (2001)  demonstrated how to improve predictions.  Rock proper-
            ties  and  amplitude  versus offset modeling help to understand the frequently  ambiguous
            amplitude  and  AVO  signatures  found  in  seismic  data.  The  aim  is  to  understand  the
            elastic  reservoir  properties  and  their  dependence  upon  pore  fluids.  Inasmuch  as  the
            seismic  reflectivity  data  are  a  measurement  of  changes  in  the  elastic  rock  properties
            across  interfaces,  the  elastic  properties  of  the  sealing  caprock  are  as  important  to  the
            reflectivity solution as those of the reservoir.
               Pore pressure has  a greater influence  on the  elastic properties  of shale than it has  on
            the  properties  of  sands  and  sandstones  because  of the  influence  of  adsorbed  water  on
            the  clay particles.  Inasmuch  as  the  pore  pressure  could be  related  to  shale  dewatering,
            at least in Tertiary sand-shale  sequences,  the  amount of adsorded water correlates with
            pressure.  Pore  pressure,  therefore,  becomes  a  critical  parameter  in  the  rock  property
            and  reflectivity models  because  of its  disproportionate  influence  on  the  shale  caprock.
            Fig.  7-7  shows  that  essentially  identical  reservoir  sands  with  similar  fluids  may  have
            dramatically  different  amplitudes  and  AVO  signatures  simply  because  of  their  pore
            pressure.
               In  sand-shale  sequences,  the  elastic  properties  of  rocks  vary  as  a  function  of  the
            pore  pressure.  The  properties  of  shales  vary  more  as  a  function  of  pressure  than
            do  the  sands.  Consequently,  in  order  to  generate  high-precision  rock  property  and
            reflectivity models,  the  influence  of pore  pressure  on  the  reservoir  rock  and  shale  seal
            (caprock) must be included.  An independent estimate of pore pressure is required when
            models  are  made  for  prospects  away  from  the  well  control.  Fortunately,  there  is  a
            strong  correlation  between  the  pore  pressure  and  seismically  derived  interval  velocity
            (Fig. 7-8). Additionally, this velocity is presented in three dimensions.

            Pore pressure estimation from seismic velocities

               The pore pressure  calculated from  3-D prestack depth migration velocities  was used
            successfully  in  the  Gulf  of Mexico  subsalt  trend.  Various  papers  have  been  published
            on  this  topic  showing  the  usefulness  of  implementing  pore  pressure  prediction  in  a
            3-D  volume.  In  all  cases,  pore  pressure  is  estimated  by  measuring  the  deviation  of
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