The Lt-norm method is one of the widely used matching filters for adaptive multiple subtraction. When the primaries and multiples are mixed together, the L1-norm method might damage the primaries, leading to poor late...The Lt-norm method is one of the widely used matching filters for adaptive multiple subtraction. When the primaries and multiples are mixed together, the L1-norm method might damage the primaries, leading to poor lateral continuity. In this paper, we propose a constrained L1-norm method for adaptive multiple subtraction by introducing the lateral continuity constraint for the estimated primaries. We measure the lateral continuity using prediction-error filters （PEF）. We illustrate our method with the synthetic Pluto dataset. The results show that the constrained L1-norm method can simultaneously attenuate the multiples and preserve the primaries.展开更多
A total of 6 oil samples were systematically selected from six Asmari Reservoir wells in the Cheshmeh-Khush Oilfield for geochemical evaluation of the hydrocarbon system,based on reservoir geochemistry and oil fingerp...A total of 6 oil samples were systematically selected from six Asmari Reservoir wells in the Cheshmeh-Khush Oilfield for geochemical evaluation of the hydrocarbon system,based on reservoir geochemistry and oil fingerprints.An investigation of the distribution patterns of normal alkanes and tricyclic and tetracyclic terpanes along with characteristic biomarkers of the depositional environment and sedimentary facies,indicated that the source rock of the studied hydrocarbons was deposited in a reducing aquatic environment with a low input of terrigenous material and predominantly carbonate lithology derived from organic algal matter.The studied oil samples exhibited moderate maturity,as was further confirmed by the parameters extracted from the light hydrocarbons.Statistical clustering based on different biomarker parameters indicated the presence of two oil families.Additionally,the application of branched and cyclic compounds in the light hydrocarbons(C5–C11)to evaluate lateral continuity of the Asmari reservoir further supported the presence of the two oil families.Other evidence proved the presence of a NE–SW trending fault separating wells X5 and X6 from the other wells in the field.In other wells across the field,good lateral reservoir continuity was observed,despite the presence of faults on the northern and southern plunges of the structure.展开更多
基金This work is sponsored by National Natural Science Foundation of China （No. 40874056）, Important National Science ＆ Technology Specific Projects 2008ZX05023-005-004, and the NCET Fund.Acknowledgements The authors are grateful to Liu Yang, and Zhu Sheng-wang for their constructive remarks on this manuscript.
文摘The Lt-norm method is one of the widely used matching filters for adaptive multiple subtraction. When the primaries and multiples are mixed together, the L1-norm method might damage the primaries, leading to poor lateral continuity. In this paper, we propose a constrained L1-norm method for adaptive multiple subtraction by introducing the lateral continuity constraint for the estimated primaries. We measure the lateral continuity using prediction-error filters （PEF）. We illustrate our method with the synthetic Pluto dataset. The results show that the constrained L1-norm method can simultaneously attenuate the multiples and preserve the primaries.
基金the Exploration Directorate of the National Iranian Oil Company for providing the research team with the required funding for performing the analysis utilized in this project。
文摘A total of 6 oil samples were systematically selected from six Asmari Reservoir wells in the Cheshmeh-Khush Oilfield for geochemical evaluation of the hydrocarbon system,based on reservoir geochemistry and oil fingerprints.An investigation of the distribution patterns of normal alkanes and tricyclic and tetracyclic terpanes along with characteristic biomarkers of the depositional environment and sedimentary facies,indicated that the source rock of the studied hydrocarbons was deposited in a reducing aquatic environment with a low input of terrigenous material and predominantly carbonate lithology derived from organic algal matter.The studied oil samples exhibited moderate maturity,as was further confirmed by the parameters extracted from the light hydrocarbons.Statistical clustering based on different biomarker parameters indicated the presence of two oil families.Additionally,the application of branched and cyclic compounds in the light hydrocarbons(C5–C11)to evaluate lateral continuity of the Asmari reservoir further supported the presence of the two oil families.Other evidence proved the presence of a NE–SW trending fault separating wells X5 and X6 from the other wells in the field.In other wells across the field,good lateral reservoir continuity was observed,despite the presence of faults on the northern and southern plunges of the structure.
