Spectral Decomposition Techniques as Hydrocarbon Indicators. A Case Study of West Waha and Worsham Bayer Field, West Texas.
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The West Waha and Worsham Bayer fields, West Texas are a gas producing province with about seventy percent of its production from the Ellenburger group. The Mississippian limestone, Thirtyone formation and Fusselman group also produce gas. The following spectral decomposition techniques: Constrained Least Square Spectral Analysis (CLSSA), Discrete Fourier Transform (DFT) and Continuous Wavelet transform (CWT) were applied on the field data and they all illuminate the reservoirs and also identify shadows beneath the reservoirs at low frequency. This validates that the recently developed CLSSA is a good direct hydrocarbon detection technique. The application of these techniques on horizon across a channel feature on the Straton field dataset and comparison of the results reveals CLSSA is best for subtle structure delineation. CLSSA reveals the lateral extent of the channel branches more than DFT and CWT. Application of these techniques on synthetic traces also reveals that CLSSA better separate events that are closely in time without producing side lobe effects and notches as seen on the Discrete Fourier transform (DFT) and Continuous Wavelet Transform could not separate the events in time at low frequency.