الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
In this work, gas bearing sand reservoirs of Abu Madi level 2 and
3 in Nidoco field have been characterized using seismic interpretation methods, well-log interpretation, AVO analysis, AVO attributes, AVO crossplotting and extended elastic impedance inversion methods.
In addition, these techniques can help in prospecting new anomalies of Abu Madi level 2and 3 sands in the area. Interpretations of the available seismic data show the structural features of the reservoir and the study area in general. Integrated amplitude maps with generated structure maps can used as direct hydrocarbon indicator which can used to characterize the gas reservoirs and the prospective anomalies in the field. Coherence and spectral decomposition attributes were performed in this work where the coherence maps of Abu Madi level 2 and 3 sand were useful for identifying the faults pattern in the field. Spectral decomposition were performed on the available seismic data to generate RGB maps. The generated RGB maps are used to show the sand distribution of Abu Madi level 2 and 3 channels. In this study, a careful work of the seismic data is performed and prospective anomalies are identified by AVO applications and extended elastic impedance inversion. AVO analyses can show the class of AVO response where the prospective anomalies of Abu Madi level 2&3 sand have the same AVO class 3 response as the well proven gas bearing sand anomalies in the study area. AVO attributes (AVO product and poisons ratio change) were used to identify the gas bearing anomalies
which increased the possibility of success (POS) of these anomalies. Also intercept versus gradient crossplotting can differentiate between the gas bearing sand anomalies and the background trend related to shale and water bearing sand. It is noticed that the prospective anomalies on the sections are correlatable with the proven gas anomalies of wells X1, X2 and X3.
Extended elastic impedance inversions were carried out to help identify and confirm the prospective anomalies and correlate these anomalies with the gas bearing sand anomalies proved by wells.
All of the results coming from (seismic data interpretation, log interpretation, AVO applications and extended elastic impedance inversion) have been integrated for modelling the gas sand geobodies of Abu Madi level 2, 3 and the prospective anomalies.
In conclusion, the conventional and the advanced seismic techniques performed on the available seismic data can utilize better in reservoir characterization of Abu Madi sand level 2 and 3 in Nidoco field.
In this study, Integration of amplitude maps with structure maps is considered as a powerful tool for gas exploration. Fault pattern for Abu Madi level 2 and 3 sand were drawn using coherence attributes. RGB maps which generated from spectral decomposition attribute highlighted the depositional environment of the sand reservoirs in the field as the Abu Madi sand levels of Abu Madi are characterized as fluvial channels.
Finally, it is concluded that these techniques are helpful in characterizing the sand reservoirs in Nidoco field. AVO applications play an important role in classify the AVO response anomalies in Messinian section in the field and to detecting the gas zones in the Messinaian section. Extended impedance attribute helps in delineating gas-saturated reservoirs of the interested levels inside Abu Madi valley. Nidoco field is still a promising area to investigate the remaining potentiality for increasing the gas production.
The results obtained from this study can lead that seismic interpretation, AVO applications and extended elastic impedance are considered as powerful techniques for seismic reservoir characterization. Integration of the results of these techniques can help in detecting the gas reservoirs in the field. It is recommended to use such techniques in the area for exploring new reservoirs and for validating any prospect in the field before drilling in Nile Delta province.
Another aspect of this work is that there are a promising locations for Abu Madi level 2 and 3 sand to drill for increasing a production rate in the field.