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Calibration of Seismic Attributes for Reservoir Characterization ...

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Executive SummaryThe project, “<strong>Calibration</strong> <strong>of</strong> <strong>Seismic</strong> <strong>Attributes</strong> <strong>for</strong> <strong>Reservoir</strong> <strong>Calibration</strong>,” has completed theinitially scheduled third year <strong>of</strong> the contract, and is beginning a fourth year at no additional cost,designed to expand upon the tech transfer aspects <strong>of</strong> the project. We have completed allessential work on four major data sets and have made intriguing conclusions in all <strong>of</strong> them. Asthe preparation <strong>of</strong> tech transfer items continues, we expect to find minor additional tasks toper<strong>for</strong>m on some <strong>of</strong> the individual data sets, <strong>for</strong> completeness or demonstration purposes.Our description <strong>of</strong> the work per<strong>for</strong>med will follow each data set, and the discoveries madeassociated with them. A summary will present those same discoveries in terms <strong>of</strong> theirrelationship to the current state <strong>of</strong> the art in seismic calibration interpretation.The Stratton data set has provided a challenge in thin-bed reservoir characterization in theabsence <strong>of</strong> sonic-log calibration data. In general, the seismic character <strong>of</strong> potential productivezones is obscure in this data set, and horizons containing the pay zones are typicallydiscontinuous. Previous work by other authors has demonstrated the apparent usefulness <strong>of</strong>simple attributes mapped along ‘phantom’ horizons which were tied at one well through a VSPand controlled by a constant <strong>of</strong>fset from a nearby continuously tracked horizon. We havedemonstrated in this project that this apparent correlation is an artifact <strong>of</strong> isopach changes, whichdominate the interpretations based on simple attributes and on seismic facies analysis. However,if the interpreter understands that the interpretation is based on this correlation with bedthickening or thinning, reliable interpretations <strong>of</strong> channel horizons and facies can be made.The Boonsville data set has provided another challenge in thin-bed reservoir characterization, inwhich the seismic character <strong>of</strong> a productive sand zone appears, indistinguishable from thecharacter <strong>of</strong> a non-productive limestone to most commonly used attributes. In this case, theinterplay <strong>of</strong> impedance and thickness conspire with tuning to produce the similarity in mostattributes. This problem was attacked with two methods. In the first method, a technique wasdeveloped that made use <strong>of</strong> the well-log interpretations to divide the area into a number <strong>of</strong> facies,following a reasonable geological model; then the seismic attributes, including seismic faciesgenerated under various neural network procedures, were used to further subdivide thoseregional facies into productive and non-productive subfacies. In the other method, a newtechnique involving cross-correlation <strong>of</strong> seismic wave<strong>for</strong>ms was developed to provide a reliablemap <strong>of</strong> various facies present in the area; we think this technique holds great promise <strong>for</strong> otherdata sets as well, and it appears to be extremely robust.The Teal South data set has provided a surprising set <strong>of</strong> data, extremely rich in interpretationpossibilities. We used the limited log data and excellent seismic data <strong>of</strong> this class III AVO brightspot reservoir in the Gulf <strong>of</strong> Mexico to develop a robust seismic petrophysics model throughwave<strong>for</strong>m (stratigraphic) inversion <strong>for</strong> acoustic impedance. We then used this model, togetherwith a pressure-dependent elastic modulus relationship developed by us, to predict the futureseismic response <strong>of</strong> the reservoir, as it was produced. Our predictions met the observations withuncanny accuracy. But observations <strong>of</strong> nearby, unproduced reservoirs also indicated a similarresponse, one that was not predicted with classical reservoir models or simulations. Weconcluded that these nearby reservoirs are undergoing a pressure drop in response to theproduction <strong>of</strong> the main reservoir, and that oil is being lost through their spill points (as gas comesout <strong>of</strong> solution), never to be produced. This set <strong>of</strong> observations may have serious ramifications<strong>for</strong> engineering and exploitation techniques throughout the Gulf <strong>of</strong> Mexico.Annual Technical Progress Report Michigan Technological University DE-AC26-98BC15135October, 2001 Page 9

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