Current Issue : April - June Volume : 2019 Issue Number : 2 Articles : 5 Articles
Static correction is an essential step in seismic processing and it has an effect on the later\nsteps of seismic processing, including velocity analysis, data stacking, and seismic inversion. During\nseismic data acquisition, a receiving point usually sets a geophone several times to receive the seismic\ndata. The same geophone cannot be set at the same receiving point every time. If the geophones have\ndifferent delay time, then the common receiving-point gather (CRG) will have multiple receiver statics.\nHowever, the receiver statics of a CRG are considered the same in conventional static correction.\nIn this paper, based on common attitude gather (CAG), a novel static correction method is proposed\nto analyze the receiver statics of a CRG. Attitude indicates the tilt angles of the three components of\na geophone. According to the different attitudes of geophones, CRG can be divided into multiple\nCAGs. When the difference technique is used to the novel method and the conventional method,\nthe statics are analyzed with CAGs and CRGs, respectively. A field example demonstrates that the\nproposed method cannot only enhance the continuity of the event in the shot gather, but also smooth\nthe gaps of the event in the CRG. The results suggest that the proposed method can eliminate the\neffect of differences in delay time of geophones on static correction....
Yin [1] has developed a new Bayesian measure of evidence for testing a point\nnull hypothesis which agrees with the frequentist p-value thereby, solving\nLindleyâ??s paradox. Yin and Li [2] extended the methodology of Yin [1] to the\ncase of the Behrens-Fisher problem by assigning Jeffreysâ?? independent prior\nto the nuisance parameters. In this paper, we were able to show both analytically\nand through the results from simulation studies that the methodology of\nYin [1] solves simultaneously, the Behrens-Fisher problem and Lindleyâ??s paradox\nwhen a Gamma prior is assigned to the nuisance parameters....
Talang Akar Formation is a proven hydrocarbon source rock in South Sumatra\nbasin. The formation contains dominant shale at the top, with some sandstone\ninterbeds. Whereas it contains coarse to very coarse sandstone beds at\nthe bottom. The lower sandstone unit also contains carbonaceous shale and\nsome coal seams. The geochemical analysis is important to identify a source\nrock quality in shale gas. The quality of source rock is determined by richness\nof the source rock and type of kerogen. 37 samples were collected from well\ncuttings in JML-1 and JML-2 wells. Samples we are received into the laboratories\nin the form of well site canned ditch cuttings, bagged ditch cuttings in\nvarious stages of preparation from wet, unwashed to dried, washed; sidewall\ncores, conventional cores, outcrop samples. The richness of a source rock can\nbe defined by the content of organic carbon which is measured as total organic\ncarbon (TOC). Based on geochemical result of analysis, quantity of\nshale hydrocarbon potential is indicated by the TOC value of 0.52 wt% - 6.12\nwt% (fair to excellent criteria), with average of shale thickness more than 50\nm. Tmax is an indication of the maturation stage of organic material and\nHydrogen Index (HI) is a parameter used to explain the origin of organic\nmaterial. HI versus Tmax crossplot was analysed for kerogen type determination\nand presence of type II/III kerogen was identified. This study concludes\nthat the source rock contains abundant humic organic matter that was deposited\nin a transitional (Fluvio-deltaic) to marginal marine environment under\noxic conditions....
It is well-known that the power of Cochranâ??s Q test to assess the presence of\nheterogeneity among treatment effects in a clinical meta-analysis is low due\nto the small number of studies combined. Two modified tests (PL1, PL 2) were\nproposed by replacing the profile maximum likelihood estimator (PMLE) into\nthe variance formula of logarithm of risk ratio in the standard chi-square\ntest statistic for testing the null common risk ratios across all k studies\n( i 1, , k ). The simply naive test (SIM) as another comparative candidate\nhas considerably arisen. The performance of tests in terms of type I error rate\nunder the null hypothesis and power of test under the random effects hypothesis\nwas done via a simulation plan with various combinations of significance\nlevels, numbers of studies, sample sizes in treatment and control arms,\nand true risk ratios as effect sizes of interest. The results indicated that for\nmoderate to large study sizes ...............
This study demonstrates that flexible white LEDs, doped with diffusion particles and with a\nsquare column structure, have excellent luminosity, uniformity, and bending reliability. This large area\n(5 cm Ã? 5 cm) square column flexible device had a smaller thickness (2 mm), and enhancements in\nboth luminous efficiency (29.5%) and uniformity (44.6%) compared to the characteristics of the 6 mm\nreference sample. Optimization of the reflective layer coating for the square column, flexible white\nLED was achieved with a higher luminous efficiency (171 lm/w) and uniformity (92%). We designed\na novel lightning bolt electrode to improve reliability and bendability. After the bending test, the blue\nflexible LED had a lower bending diameter (10 mm) but more bending circles (increased to 2000 times....
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