Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Wang Zhizhan is active.

Publication


Featured researches published by Wang Zhizhan.


Chinese Journal of Geochemistry | 2015

Determining the fluorescent components in drilling fluid by using NMR method

Wang Zhizhan; Qin Liming; Lu Huangsheng; Li Xin; Cai Qing

Fluorescent additives can reduce drilling operation risks, especially during high angle deviated well drilling and when managing stuck pipe problems. However, they can affect oil discovery and there is a need to reduce the level of fluorescents or change the drilling fluids to prevent loss of drilling velocity and efficiency. In this paper, based on the analysis of drilling fluids by NMR with high sensitivity, solid and liquid additives have been analyzed under conditions with different fluorescent levels and temperatures. The results show that all of the solid additives have no NMR signal, and therefore cannot affect oil discovery during drilling. For the liquid additives with different oil products, the characterizations can be quantified and evaluated through a T2 cumulated spectrum, oil peak (T2g), and oil content of the drilling fluids. NMR can improve the application of florescent additives and help us to enhance oil exploration benefits and improve drilling operations and efficiency.


international conference on mechatronic science electric engineering and computer | 2011

A new method for detecting real-time geopressure from drilling-logging parameters

Li Gongquan; Wang Zhizhan

Real-Time detecting abnormal formation pressure can not only prevent the happening of drilling hazard, but also effective protect the pollution of reservoir. A detective model can be made from some drilling-logging parameters because these parameters collected by comprehensive logging instrument can indicate the abnormal pressure information existing in the formation. First, a PCA method is used to process six wells from Dongying Depression, China in order to reduce the cross-correlation among parameters and the count. Then a neural net model is trained by the result in the first step. Finally, thirty wells are detected by the model. The correspondence between real data and predicted results is about 84.6%. So this method can be used in the real case.


Archive | 2014

Beach bar sandstone microfacies recognition mode establishment method and application of beach bar sandstone microfacies recognition mode in microfacies recognition

Liao Dongliang; Zhao Wenjie; Lu Huangsheng; Liu Jiangtao; Yang Mingqing; Wang Wei; Wang Zhizhan; Wu Haiyan; Zhang Yuanchun


Archive | 2016

Method for measuring oil length and/or oil content of oil-based drilling cuttings and application of method

Wang Zhizhan; Qin Liming; Li Xin; Lu Huangsheng; Li Sanguo; Zhang Yuanchun; Liao Dongliang


Archive | 2016

Method for determining fracturing index of shale formation

Liao Dongliang; Zhang Wei; Wang Zhizhan; Liu Jiangtao; Qin Liming; Wei Liling


Archive | 2013

Method for monitoring pressure gradients of porous formation

Wang Zhizhan; Lu Huangsheng; Zhang Xinhua; Qin Liming; Liu Jiangtao


Archive | 2013

Method for measuring degassing efficiency of drilling fluid through complete degassing value

Yang Mingqing; Zhang Wei; Lu Huangsheng; Li Sanguo; Wang Zhizhan; Zhang Xinhua


Archive | 2013

Method for judging and identifying drilling-encounter oil layer under condition that drilling fluid adding oil exists

Wang Zhizhan; Qin Liming; Lu Huangsheng; Zhang Wei; Yang Mingqing


Archive | 2013

System and method for monitoring and logging formation fluid oil gas in real time

Zhang Wei; Lu Huangsheng; Li Sanguo; Yang Mingqing; Wang Zhizhan; Zhang Xinhua


Archive | 2013

Method of conversion and comparison for gas-logging values of different wells

Yang Mingqing; Zhang Wei; Lu Huangsheng; Xue Shimin; Li Sanguo; Zhao Wenjie; Wang Zhizhan; Zhang Xinhua

Collaboration


Dive into the Wang Zhizhan's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Zhang Wei

China-Japan Friendship Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge