Multi-wave exploration is an effective means for improving precision in the exploration and development of complex oil and gas reservoirs that are dense and have low permeability. However, convened wave data is charac...Multi-wave exploration is an effective means for improving precision in the exploration and development of complex oil and gas reservoirs that are dense and have low permeability. However, convened wave data is characterized by a low signal-to-noise ratio and low resolution, because the conventional deconvolution technology is easily affected by the frequency range limits, and there is limited scope for improving its resolution. The spectral inversion techniques is used to identify λ/8 thin layers and its breakthrough regarding band range limits has greatly improved the seismic resolution. The difficulty associated with this technology is how to use the stable inversion algorithm to obtain a high-precision reflection coefficient, and then to use this reflection coefficient to reconstruct broadband data for processing. In this paper, we focus on how to improve the vertical resolution of the converted PS-wave for multi-wave data processing. Based on previous research, we propose a least squares inversion algorithm with a total variation constraint, in which we uses the total variance as a priori information to solve under-determined problems, thereby improving the accuracy and stability of the inversion. Here, we simulate the Gaussian fitting amplitude spectrum to obtain broadband wavelet data, which we then process to obtain a higher resolution converted wave. We successfully apply the proposed inversion technology in the processing of high-resolution data from the Penglai region to obtain higher resolution convened wave data, which we then verify in a theoretical test. Improving the resolution of converted PS-wave data will provide more accurate data for subsequent velocity inversion and the extraction of reservoir reflection information.展开更多
为了探究电动修复法对高浓度含铜污染土壤修复的可行性,对铜含量为1 500 mg/kg的污染土壤进行了电动修复。实验研究了不同修复时间下电流变化、土壤p H变化和土壤中铜的迁移规律,并采用BCR(Bureau Community of Reference)法对土壤中铜...为了探究电动修复法对高浓度含铜污染土壤修复的可行性,对铜含量为1 500 mg/kg的污染土壤进行了电动修复。实验研究了不同修复时间下电流变化、土壤p H变化和土壤中铜的迁移规律,并采用BCR(Bureau Community of Reference)法对土壤中铜的不同形态进行了分离、提取、测定。实验结果表明,电动修复技术对于高浓度含铜污染土壤中的铜具有良好的去除效果;在修复电压为30 V,修复时间为7 d时,土壤中的铜含量可以降至400 mg/kg以下。修复后铜的弱酸提取态占比增加,可还原态占比降低,可氧化态和残渣态占比无明显变化。展开更多
基金supported by the China National Petroleum Corporation Scientific research and technology development project(Nos.2013E-38-08)
文摘Multi-wave exploration is an effective means for improving precision in the exploration and development of complex oil and gas reservoirs that are dense and have low permeability. However, convened wave data is characterized by a low signal-to-noise ratio and low resolution, because the conventional deconvolution technology is easily affected by the frequency range limits, and there is limited scope for improving its resolution. The spectral inversion techniques is used to identify λ/8 thin layers and its breakthrough regarding band range limits has greatly improved the seismic resolution. The difficulty associated with this technology is how to use the stable inversion algorithm to obtain a high-precision reflection coefficient, and then to use this reflection coefficient to reconstruct broadband data for processing. In this paper, we focus on how to improve the vertical resolution of the converted PS-wave for multi-wave data processing. Based on previous research, we propose a least squares inversion algorithm with a total variation constraint, in which we uses the total variance as a priori information to solve under-determined problems, thereby improving the accuracy and stability of the inversion. Here, we simulate the Gaussian fitting amplitude spectrum to obtain broadband wavelet data, which we then process to obtain a higher resolution converted wave. We successfully apply the proposed inversion technology in the processing of high-resolution data from the Penglai region to obtain higher resolution convened wave data, which we then verify in a theoretical test. Improving the resolution of converted PS-wave data will provide more accurate data for subsequent velocity inversion and the extraction of reservoir reflection information.
文摘为了探究电动修复法对高浓度含铜污染土壤修复的可行性,对铜含量为1 500 mg/kg的污染土壤进行了电动修复。实验研究了不同修复时间下电流变化、土壤p H变化和土壤中铜的迁移规律,并采用BCR(Bureau Community of Reference)法对土壤中铜的不同形态进行了分离、提取、测定。实验结果表明,电动修复技术对于高浓度含铜污染土壤中的铜具有良好的去除效果;在修复电压为30 V,修复时间为7 d时,土壤中的铜含量可以降至400 mg/kg以下。修复后铜的弱酸提取态占比增加,可还原态占比降低,可氧化态和残渣态占比无明显变化。
