Remote wireless transmission and error recovery of log data

Zhao, Yipeng; Li, Ning; Wang, Caizhi

doi:10.1007/s11770-007-0042-7

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…The bottom layer of CIFLog platform adopts CIFPlus data storage format [29,30]. The bottom layer of this format uses table structure and data block to store data, in which the physical structure takes 4096 bytes as its unit, and each 4096 bytes is called a record block.…”

Section: Analysis Model Of Augmented-dimensional Display Of Crossplotsmentioning

confidence: 99%

A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

et al. 2022

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Crossplot is an important tool for data visualization analysis in well logging processing and interpretation. Generally, the color of the points in the crossplot is calibrated by the data to improve the plane crossplot from two dimensions (2D) to three dimensions (3D). However, this method is limited to the logging data. In many cases, it is necessary to use crossplots for comprehensive evaluation with the well logging, geology, mud logging, and oil testing data, or to deeply analyze the data from multiple wells and multiple layers. The traditional crossplots cannot meet the demands. To expand the traditional crossplot to multiple dimensions, we proposed an augmented-dimensional visualization and analysis method by the crossplot with multi-well and multi-dimensional heterogeneous data, which is developed based on the traditional crossplots. Firstly, we built the match matrix of the augmented-dimensional heterogeneous data from different depths and set up the crossplots of the heterogeneous data after depth normalization. In this way, the attribute calibrations of the points in the crossplots by logging data were realized, and the auxiliary figures of the augmented-dimensional crossplots were established. In addition, the crossplots were expanded to more dimensions by collaborative analysis of the multiple crossplots and synchronous display in different single-well and multi-well modules with the feature points projection. Secondly, we established the display method of the crossplots from multi-well data by quadtree index. The display and interaction performance of the augmented-dimensional crossplots under the conditions of large amount of data from multiple wells were greatly improved by optimizing the overlapped and covered points in the crossplots. This method can provide more information about the reservoirs and realize the comprehensive well logging comparison, analysis, and visualization from different views. It has been developed and integrated into a CIFLog software platform and has been widely used in many domestic oilfields.

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Section: Analysis Model Of Augmented-dimensional Display Of Crossplotsmentioning

confidence: 99%

A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

et al. 2022

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“…10 patent [10], remote wireless transmission [11][12][13], etc. These systems improve the downhole transmission rate up to Megabit.…”

Section: Open Access Cnmentioning

confidence: 99%

OFDM Wireless Downhole Transmission Systems and Proposed SLM Method for PAPR Reduction

Luo¹,

Dang²,

Li³

et al. 2014

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At present, mud pulse transmission systems are widely used in downhole data transmission. But the systems are very low in transmission efficiency, only 5-10 bits/s, with very large anti-inter-symbol-interference (ISI). It cannot meet high requirements for high-speed transmission of modern logging system. The development of communication technology has laid some foundation for this requirement. For this purpose, the Orthogonal Frequency Division Multiplexing (OFDM) Wireless Downhole Transmission Systems are proposed for the first time because of their high transmission rate, anti-inter-symbol-interference (ISI), and high spectral efficiency, etc. Due to non-linear power amplifier (PA) of logging systems with limited dynamic range, the drawbacks of high peak-average power ratio (PAPR) may outweigh all the potential benefits of OFDM wireless downhole transmission systems. Selective mapping (SLM) method can reduce the PAPR of OFDM logging signals without distortion. But at the receiver, the conventional SLM method needs exact bits of side information (SI) to recover the data signal. The probability of erroneous SI detection has a significant influence on the error performance of the system. And individual transmissions of SI result in the reduction of bandwidth efficiency. To restore the exact data signal, our scheme codes the SI bits by linear block codes (LBC), and is easily decoded by syndrome decoding. And then the coding SI bits are superimposed onto the logging signals to omit SI bits transmission. The theory and simulation results show that the proposed method has better performance than the conventional one. Accordingly, the OFDM wireless downhole transmission systems can tackle the high PAPR problem, and highten the transmission rate of logging signals.

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“…P2P protocols are usually blocked by firewalls on enterprise networks due to their known use for illegal file sharing and identity theft. However, P2P communication can be tunneled over an authorized protocol (e.g., HTTP) to cloak/mask its identity in order to penetrate the firewall [7]. In addition, a more clandestine way to conduct espionage over the enterprise network is to use a covert channel Figure 2).…”

Section: Example Threatsmentioning

confidence: 99%

SIDD: A Framework for Detecting Sensitive Data Exfiltration by an Insider Attack

2009

2009 42nd Hawaii International Conference on System Sciences

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Remote wireless transmission and error recovery of log data

Cited by 3 publications

References 2 publications

A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

OFDM Wireless Downhole Transmission Systems and Proposed SLM Method for PAPR Reduction

SIDD: A Framework for Detecting Sensitive Data Exfiltration by an Insider Attack

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