A series of light oil fields which are characterized by shallow burial, good physical property have been discovered through latest exploration in Baiyun Depression of Pearl River Mouth Basin. However light oil reservoir is "Atypical bright spot" reservoir. The light oil-bearing and gas bearing structures in the seismic section are characterized by "bright spot" reflection, and the difference of elastic parameters is not obvious. Traditional methods are inefficient to discriminate oil, gas and water. Aiming at the above problems, the fluid rock physical interpretation version is rebuilt through the analysis of Gassmann fluid factor based on two-phase medium petrophysics theory and the elastic parameters of the P-wave impedance. Then the three fluid properties of oil, gas and water are classified by direct inversion technique based on elastic impedance. The real data processing and exploration practice have proved the feasibility and validity of this method which is instructive to deep water exploration.
The scenic spot has a certain tourist carrying capacity, controlling the number of tourists in the scenic spot can not only protect the scenic spot landscape, but also can improve the comfort of tourists. With the development of modern information technology, the demand for building smart scenic spots is becoming stronger and stronger. Tourist volume monitoring is an important aspect of smart scenic spot construction[1]. The system adopts intelligent camera as the tourist volume collection equipment, which is installed at the entrance and exit of the scenic spot to make real-time statistics of the incoming and outgoing data[2]. Our innovations include the followings. First, we have designed a general system architecture based on intelligent tourist volume camera for tourist volume collection, which is applicable to the statistics of tourist volume of scenic spots at multiple entrances and exits, and supports monthly reports, daily reports and hourly reports. Second, we have proposed a three-level threshold tourist volume early warning mode, which is based on 80%, 90% and 100% of the tourist carrying capacity of the scenic spot, and set three-level threshold, two-level threshold and primary threshold respectively. This is an application of IoT in intelligent scenic spots.
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