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小口径绳索取心钻探技术在页岩气地质调查井中具有不可替代的优势,同时也存在较大的局限性。结合小口径绳索取心工艺在10余口页岩气调查井的应用情况,从地质条件、技术要求、设备及配套机具等方面归纳总结了施工中的难点,从井身结构、设备配置、取心工艺、泥浆体系、复杂情况预防等方面提出了优化方案。依据优化后的施工技术措施,在后续施工的页岩气调查井中取得了良好的效果,岩心采取率保持在97%以上,台月进尺超过了400 m,复杂发生频次控制在2次以下。对下一步小口径页岩气调查井施工具有一定的借鉴意义。 相似文献
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Argo浮标是靠浮标体底部一个可改变体积的盛油皮囊,使其获得不同的净浮力来实现下潜、上升和深度控制.盛油皮囊的膨胀和收缩又是通过液压柱塞泵向盛油皮囊内注入或抽出液压油来实现的,以液压柱塞泵为主的浮标注油系统的运转状况关系到整个Argo浮标的性能.因此,为了提高Argo浮标的工作可靠性,在Argo浮标的生产制作及其检测过... 相似文献
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基于中国北极考察布放浮标观测和数值模拟的海冰和积雪厚度变化分析 总被引：1，自引：0，他引：1
Sea ice and the snow pack on top of it were investigated using Chinese National Arctic Research Expedition(CHINARE) buoy data.Two polar hydrometeorological drifters,known as Zeno? ice stations,were deployed during CHINARE 2003.A new type of high-resolution Snow and Ice Mass Balance Arrays,known as SIMBA buoys,were deployed during CHINARE 2014.Data from those buoys were applied to investigate the thickness of sea ice and snow in the CHINARE domain.A simple approach was applied to estimate the average snow thickness on the basis of Zeno~ temperature data.Snow and ice thicknesses were also derived from vertical temperature profile data based on the SIMBA buoys.A one-dimensional snow and ice thermodynamic model(HIGHTSI) was applied to calculate the snow and ice thickness along the buoy drift trajectories.The model forcing was based on forecasts and analyses of the European Centre for Medium-Range Weather Forecasts(ECMWF).The Zeno~ buoys drifted in a confined area during 2003–2004.The snow thickness modelled applying HIGHTSI was consistent with results based on Zeno~ buoy data.The SIMBA buoys drifted from 81.1°N,157.4°W to 73.5°N,134.9°W in 15 months during2014–2015.The total ice thickness increased from an initial August 2014 value of 1.97 m to a maximum value of2.45 m before the onset of snow melt in May 2015;the last observation was approximately 1 m in late November2015.The ice thickness based on HIGHTSI agreed with SIMBA measurements,in particular when the seasonal variation of oceanic heat flux was taken into account,but the modelled snow thickness differed from the observed one.Sea ice thickness derived from SIMBA data was reasonably good in cold conditions,but challenges remain in both snow and ice thickness in summer. 相似文献
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