No abstract

No abstract

No abstract

Diamond films were grown by hot filament chemical deposition (HFCVD) on Cu metal substrate with two different buffer layers (SiC or MoSi2) synthesized by using magnetron sputtering technique. The components of films were investigated using X-ray diffraction (XRD) and laser Raman spectrum, and the surface morphology and structure were observed with scanning electron microscopy (SEM). Film adherence was investigated by micro-indentation. The results showed that the diamond films were successfully grown on Cu metal substrate with two different buffer layers. There were cracks on diamond film grown on 3µm SiC buffer layer and some SiC crystal whiskers were observed. Dense diamond films with bad adhesion were observed on 22µm MoSi2 buffered copper substrate. MoSi2 made chemical reaction with CH4 and produced MoC and Mo5Si3 on the process of HFCVD. Conclusion: the 3µm buffer layer of SiC can’t help deposit no cracking diamond film; the 22µm buffer layer of MoSi2 is helpful for depositing good diamond film, but can’t effectively improve the bond strength between diamond film and copper substrate.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractGas-bearing reservoirs of the YingCheng Group in the SongLiao Basin in northeastern China are hosted in a complex assemblage of volcanic rocks. These reservoirs present a large number of interpretation challenges that have made the evaluation of gas-in-place (GIP) problematic. A fit-forpurpose workflow was developed for one accumulation in this area to provide robust GIP estimates in support of a development decision.The workflow involves a number of novel techniques developed to address the challenges presented by these reservoirs. Rock typing was conducted through integration of core descriptions with neutron capture spectroscopy, nuclear magnetic resonance logs, and borehole images using a neural network approach. These rock types, characterizing variations in chemistry and rock texture, were then propagated in a geocellular model using multivariate seismic attribute analysis and distribution rules based on volcanic analogues. Porosity and water saturation from an innovative petrophysical interpretation methodology were propagated throughout the model based on these rock types. The distribution of both rock types and petrophysical properties was performed stochastically and a range of potential GIP estimates was developed.