Tytuł pozycji:
A new approach to describe the depositional architecture of interbedded thin coal seams using a proportional thickness model database
Complex interference complicates the description and interpretation of the depositional architecture of seismically thininterbedded reservoirs. We introduce a proportion wavelength factor, k, which is the ratio of the actual thickness to the dominant wavelength, to replace the actual bed thickness in modeling. The featured design, using the equal k-step and multilayer nested loops, provides an efficient method to establish a synthetic seismogram database to assist in the interpretation of seismic amplitude and to understand the complex architectures associated with interbedded thin reservoirs. One of the notable advantages of the k model database is that it is comprehensive and independent from the wavelet frequency variation. Another advantage is that we can assemble any special or interesting architecture model similar to building blocks, by selecting and arranging each k series according to the customized orders. We have set up a case database of a simple three-bed interference model based on the 90°-phase Ricker wavelet and demonstrate the possibility to describe almost all depositional architectures between two thin coal seams. We further also defined three interference patterns of one trough, two troughs encasing one peak, and an interference-free pattern within a three-bed model and have built two identification templates. We draw some meaningful conclusions about amplitudes of tuning effect, valley effect, and monotone increasing trend to reduce the interpretation ambiguity in individual bed thickness, total thickness, and thickness difference. The efficiency of interference pattern identification and more accurate seismic signature interpretation of thin coal seams with great variation in bed thickness and interval distance is illustrated by applying our approach on Permian coal-bearing cycles.
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
