Identification of Hydrocarbon Reservoir Distribution Using Seismic Attributes: RMS Amplitude and Sweetness in the Bani Field, South Sumatra Basin
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Shallsa Bella. W Tamba, M. Aryono Adhi, Budi Eka Nurcahya

Identification of Hydrocarbon Reservoir Distribution Using Seismic Attributes: RMS Amplitude and Sweetness in the Bani Field, South Sumatra Basin

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Introduction

Identification of hydrocarbon reservoir distribution using seismic attributes: rms amplitude and sweetness in the bani field, south sumatra basin. Identify hydrocarbon reservoirs in Bani Field, South Sumatra, using RMS Amplitude & Sweetness seismic attributes. Analyze responses in Batu Raja & Talang Akar Formations, confirm sweet spots, and detect faults.

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Abstract

The Bani Field is in the South Sumatra basin, which is considered to have potential hydrocarbon reserves. The seismic reflection method is one method that can be used to describe geological conditions. In addition, this method is also able to provide analyses related to the presence of hydrocarbon reserves in the form of oil and gas, where one of the analyses that can be used is seismic attributes. In this study, the seismic attributes used are the RMS Amplitude and the Sweetness attribute, both of which play a role in identifying subsurface structures and determining hydrocarbon indicators. This study was conducted to analyze the results of the application of the RMS amplitude attribute and the sweetness attribute in determining the distribution of hydrocarbon reservoirs and analyzing the results of the application of the variance attribute in detecting the fault structure of the Bani Field. From the results of the analysis using the RMS amplitude attribute, the Batu Raja Formation layer describes a good response with a yellow to reddish brown color scale with a value scale between 220,000 to 320,000 ms, while the Talang Akar Formation layer describes a good response with a value scale of 160,000 to 240,000 ms. The analysis using the sweetness attribute confirmed the interpretation of the RMS amplitude attribute, indicating the presence of hydrocarbons, as depicted by the sweet spot region. Meanwhile, the geometrical attribute analysis used, namely structural smoothing and variance attributes, helped map structures and identify faults.


Review

This study presents a pertinent application of seismic attributes to delineate hydrocarbon reservoir distribution and structural features within the Bani Field, South Sumatra Basin. The authors effectively leverage the RMS Amplitude and Sweetness attributes to identify potential hydrocarbon indicators, complementing this with Variance and Structural Smoothing attributes for structural mapping. The choice of these attributes is well-justified given their established utility in reservoir characterization and fault detection, making the research directly relevant to exploration efforts in geologically complex and promising basins such as the South Sumatra Basin. The integrated approach of combining direct hydrocarbon indicators with structural analysis provides a comprehensive framework for understanding the subsurface geology and potential prospectivity. The abstract details the findings from the applied attributes, noting good RMS amplitude responses in both the Batu Raja and Talang Akar Formations, which are then reinforced by the sweetness attribute’s identification of "sweet spot regions" indicative of hydrocarbons. The use of geometric attributes, specifically structural smoothing and variance, successfully aided in mapping structures and faults. However, a critical point for clarification arises regarding the units reported for the RMS amplitude values (e.g., 220,000 to 320,000 ms). "ms" typically denotes milliseconds (time), which is an unusual unit for amplitude, suggesting either a misstatement of the unit or that these values represent a time window over which the RMS amplitude was calculated, which needs explicit clarification to avoid misinterpretation of the results. Further elaboration on the criteria used to define a "good response" or a "sweet spot" beyond just the color scale would also enhance the clarity and robustness of the interpretation. In conclusion, this study offers valuable insights into the potential hydrocarbon distribution and structural framework of the Bani Field using an established suite of seismic attributes. The methodology and general findings are promising for hydrocarbon exploration. To strengthen the overall impact and scientific rigor, future work or a more detailed presentation of the study should address the identified ambiguity in the RMS amplitude units. Additionally, incorporating validation techniques such as well-tie analysis or rock physics modeling would significantly bolster the confidence in the attribute interpretations and the predicted presence of hydrocarbons, transforming the identified "good responses" and "sweet spots" from indicators to more definitive evidence of reservoir presence.


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