Application of seismic multi-attribute inversion based on wireless network sensor in Dongying delta foreset

Seismic attributes, which are extracted from seismic information, are physical indexes used specificallyfor the measurement of geometric, dynamic, or statistical characteristics of seismic data. Current methods for seismic multi-attribute inversion include linear and nonlinear methods. By adopting the wireless module of NFC24l01, combined with the seismic data acquisition sensor, constitutes an intelligent network sensor, and then it sends the collected data to the topmost machine for analysis. Methods for the nonlinear inversion of seismic multi-attributes usually employ tools such as neural networks and support vector machines (SVMs)for mapping. Hence, inversion results obtained via nonlinear methodsare more accurate than those obtained via linear methods. In this work, with spontaneous-potential (SP) curves as the objective of nonlinear inversion, an optimized seismic attribute combination for the inversion of SP curves was identified, and the nonlinear inversion of seismic multi-attributes was achieved via the use of a deep neural network (DNN) to obtain 3D SP data. Finally, the foresetting process of a sand body of the intermediate section in Member 3 of the Shahejie Formation in the Dongying Delta was illustrated via the horizon slice of the SP data.

Application of Seismic Multi-Attribute Inversion Based on Wireless Network Sensor in Dongying Delta Foreset

Seismic attributes, which are extracted from seismic information, are physical indexes used specificallyfor the measurement of geometric, dynamic, or statistical characteristics of seismic data. Current methods for seismic multi-attribute inversion include linear and nonlinear methods. By adopting the wireless module of NFC24l01, combined with the seismic data acquisition sensor, constitutes an intelligent network sensor, and then it sends the collected data to the topmost machine for analysis. Methods for the nonlinear inversion of seismic multi-attributes usually employ tools such as neural networks and support vector machines (SVMs)for mapping. Hence, inversion results obtained via nonlinear methodsare more accurate than those obtained via linear methods. In this work, with spontaneous-potential (SP) curves as the objective of nonlinear inversion, an optimized seismic attribute combination for the inversion of SP curves was identified, and the nonlinear inversion of seismic multi-attributes was achieved via the use of a deep neural network (DNN) to obtain 3D SP data. Finally, the foresetting process of a sand body of the intermediate section in Member 3 of the Shahejie Formation in the Dongying Delta was illustrated via the horizon slice of the SP data.

Consumer Preferences for Attributes of Interest of Honey Products

In selling products is the main thing to note, because of the appeal of consumer products will be a consideration in buying consumer goods. The appeal may be packaging, taste, price, volume or other product attributes. To cultivate the right product attributes required preferences of consumers. The purpose of this research is to know the attributes and combinations of product attributes Borneo Hive the most preferred by consumers. This research uses a quantitative approach with an analysis conjoint use SPSS program 20.0. The sample used in this study is 50 consumers ever buy Borneo Hive and product attributes are examined is the packaging, volume and price. The results of this study showed that the most preferred product attributes consumers Borneo Hive is the volume of packaging and prices followed. And for the most preferred attribute combination is the glass packaging with a volume of 500 ml - 350 ml with the price of IDR 30,000–IDR.40,000.

Aircraft Cockpit Ergonomic Layout Evaluation Based on Uncertain Linguistic Multiattribute Decision Making

In the view of the current cockpit information interaction, facilities and other characteristics are increasingly multifarious; the early layout evaluation methods based on single or partial components, often cause comprehensive evaluation unilateral, leading to the problems of long development period and low efficiency. Considering the fuzziness of ergonomic evaluation and diversity of evaluation information attributes, we refine and build an evaluation system based on the characteristics of the current cockpit man-machine layout and introduce the different types of uncertain linguistic multiple attribute combination decision making (DTULDM) method in the cockpit layout evaluation process. Meanwhile, we also establish an aircraft cockpit ergonomic layout evaluation model. Finally, an experiment about cockpit layout evaluation is given, and the result demonstrates that the proposed method about cockpit ergonomic layout evaluation is feasible and effective.