Application of Energy Law for Rock Drillability in Oil Fields

doi:10.3863/j.issn.1000-2634.1994.04.011

西南石油大学学报(自然科学版) ›› 1994, Vol. 16 ›› Issue (4): 66-73.DOI: 10.3863/j.issn.1000-2634.1994.04.011

• 石油机械工程 • Previous Articles Next Articles

Application of Energy Law for Rock Drillability in Oil Fields

Du Lian Yang Shi-liang

Department of Mechanical Engineering

Received:1994-01-25 Revised:1900-01-01 Online:1994-11-20 Published:1994-11-20

Abstract

Abstract:

Through an introduction to the application of the energy law for rock drillability in oil.fields,the paper determines the applied extent of its index Kn for lithology of the formation and proves a much easier and better response of the index Kn to the true drillability changes in the well, The prediction of the drilling velocity thus obtained can almost be identical with the true one.

Key words: Rock drillability, Cuttings analysis, Grain size, Prediction, Drilling velocity

CLC Number:

TE21

Du Lian Yang Shi-liang. Application of Energy Law for Rock Drillability in Oil Fields[J]. 西南石油大学学报(自然科学版), 1994, 16(4): 66-73.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.1994.04.011

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y1994/V16/I4/66

[1]	ZHONG Yihua, WANG Shuning, LUO Lan, YANG Jinlian, YUE Yongpeng. Knowledge Mining for Oilfield Development Index Prediction Model Using Deep Learning [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 63-74.
[2]	YANG Yang, CHENG Yuefei, QIAO Ying, LIU Jiong. A Study on Oil Well Production Prediction Based on Time Series Dynamic Analysis [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 82-88.
[3]	LIU Haohan, YAN Yongqin, MIN Lingyuan, YUE Ping, YIN Yanling. Prediction of Annual Increase of Oil Production Based on GM (1, 1)Neural Network Combined Optimization [J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 89-96.
[4]	SONG Wei, HU Zhongzhi, ZHOU Yan, SHEN Yuanyuan, WEI Na. Prediction and Application of the Shaft Friction Coefficient Based on Drill-string Dynamics [J]. 西南石油大学学报(自然科学版), 2020, 42(1): 84-90.
[5]	XU Ke, WANG Bifeng, FU Xiaolong, SHI Da. Smart Prediction of the Three-dimensional Stress Field of Block Yi 176 of the Bonan Oilfield [J]. 西南石油大学学报(自然科学版), 2019, 41(5): 75-84.
[6]	PU Hongbin. Prediction of Compressor Unit Performance Based on Error Correction Model [J]. 西南石油大学学报(自然科学版), 2019, 41(2): 160-166.
[7]	ZHANG Zhi, LIU Jinming, ZHANG Huali, LI Yufei, LUO Wei. Prediction of Tubing String Corrosion Rate in CO₂-injection Production Wells [J]. 西南石油大学学报(自然科学版), 2019, 41(2): 175-184.
[8]	LI Jin, XU Jie, GONG Ning, HAN Yaotu, GAO Bin. Prediction of Dynamic Sanding in Unconsolidated Sandstone Reservoirs of Bohai Oilfield [J]. 西南石油大学学报(自然科学版), 2019, 41(1): 119-128.
[9]	WANG Chong, QU Xuefeng, WANG Yongkang, CHEN Daixin, ZHAO Guoxi. Production Prediction for the Volume-Fracturing Horizontal Wells of a Tight Oil Reservoir in the Ordos Basin [J]. 西南石油大学学报(自然科学版), 2018, 40(4): 123-131.
[10]	MA Kuiqian, LIU Dong. Model for Capacity Forecasting of Thermal Soaking Recovery in Horizontal Wells in Heavy Oil Reservoirs [J]. 西南石油大学学报(自然科学版), 2018, 40(1): 114-121.
[11]	HUANG Shijun, XIONG Hao, YE Heng, GU Hao, YANG Yang. SAGD Productivity Prediction Model Considering the Injector-Producer Pressure Difference [J]. 西南石油大学学报(自然科学版), 2017, 39(6): 101-108.
[12]	DENG Xili1，2*, LI Shunming1, KONG Chuixian3, HE Hui1, JIANG Qingping3. Geological Modeling of Fractured Volcanic Reservoir in Jinlong2#br# Oilfield，Xinjiang [J]. 西南石油大学学报(自然科学版), 2016, 38(4): 37-47.
[13]	XIE Qing1*, YANG Xingke1, JIANG Kuan2, YANG Longwei1. Petroleum Geological Condition of Cretaceous in Liupanshan Basin#br# and Favorable Areas Prediction [J]. 西南石油大学学报(自然科学版), 2016, 38(3): 28-36.
[14]	ZHAO Zhongquan1*, HE Zhenhua2, WAN Xiaoming1, SHUAI Qingwei1. A Study on Fluid Prediction Based on the Classification of Sensitive#br# Seismic Attributes [J]. 西南石油大学学报(自然科学版), 2016, 38(3): 75-81.
[15]	PU Yong1，2*. Prediction about the Abundant Belts of Tight Sandstone Gas#br# Reservoirs Through Gradual Penetration [J]. 西南石油大学学报(自然科学版), 2016, 38(2): 59-67.

Application of Energy Law for Rock Drillability in Oil Fields

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments