2D Interpolation Mapping for Seismic Inversion with Pseudo Well (2010)



Exploration side has an objective to discover the new hydrocarbon area. In this paper, we try to predict the anomaly map (reservoir character) in prospect and lead area with proven field as a reference. But, the challenge is, we only have a 2D seismic data (some are with different vintages) without any well, near to target area. Therefore we use a well (oil & gas well) from proven field as a reference, to guess and analyze in target area. First step, we tie all 2D seismic line, in order the horizon (reflectivity) should connect between one another line. Then, we create the attribute such as an Acoustic Impedance, Instantaneous Frequency and Reflection Strength. For the acoustic impedance attribute that was created, we extract the acoustic impedance trace at certain CDP which intersect with another lines. It called Pseudo well. We use the pseudo well for generate acoustic impedance at another lines. And the last step is slicing the attribute at lines and overlay with time structure to estimate the anomaly distribution, and to propose the new exploration well in prospect area. From this study, the result show that sandstone reservoir over Top Formation, that is Air Benakat and Gumai Formation, also sand at DST from North geragai-1 well, have good distributed to prospect area. We compare it from Acoustic Impedance, Instantaneous Frequency, and Reflection Strength attribute, and show very good integration. We have a low impedance, low frequency and High reflection strength at reservoir target. Defining the distribution of acoustic impedance with 2D data might have a problem. But, the pseudo well can be very effective and almost accurate to get the distribution of attribute from well, such as an acoustic impedance. It will be an advantage to exploration side. With pseudo well, we can minimize the effect from minimum amount of well and without 3D data. Hereby we can conclude that this method can be used to predict the anomaly map, or to compare with 3D slice attribute.


Author : Yoga Wismoyo, Afdil Evan, Woro Sutjiningsih, Randy Condronegoro, Susanto Sigit Wibowo, Bagus Endar B. Nurhandoko