Distribution Characteristics of Shanbei Area Pollutant in the Petrolic Drilling Fluids

doi:10.3696/j.issn.1672-6952.2010.03.010

Journal of Liaoning Petrochemical University ›› 2010, Vol. 30 ›› Issue (3): 36-40.DOI: 10.3696/j.issn.1672-6952.2010.03.010

Previous Articles Next Articles

Distribution Characteristics of Shanbei Area Pollutant in the Petrolic Drilling Fluids

WANG Ze-heng¹，LIU feng^1*，WANG Yan-hua²

1. School of Mechanical Engineering, Liaoning Shihua University, Fushun Liaoning 113001, P.R.China； 
2. CCCC First Highway Consultants Co., Ltd，Xi’an Shanxi 710068, P.R.China

Received:2010-04-13 Published:2010-09-25 Online:2017-07-05

陕北地区石油钻井泥浆中污染质分布特征

王泽恒1,刘峰1* ,王艳华2

1.辽宁石油化工大学机械工程学院,辽宁抚顺113001;2.中交第一公路勘察设计研究院有限公司,陕西西安710068

作者简介:王泽恒(1984-),男,吉林农安县,在读硕士。

Abstract

Abstract:

In view of the present situation that there are a lot of waste drilling fluids pollute soil and water in the process of petroleum exploration and development. The drilling fluids in the 5 well fields which is in the north area of Changqing oilfield was choosed to carry on the pollution characteristic analysis. 35 physicochemical indexs and contamination indexes were determined in the drilling fluids. The results show that the waste drilling fluids are ropiness colloid, viscosity high.The drilling fluids’ ingredients are clay, polyacrylamide (PAM) and carboxymethylcellulose (CMC). COD, mineral oils,NH₄⁺,Cr,Cd,Pb,As,pH,chromaticity and so on exceed standard in the drilling fluids,Zn exceeds standard in some individual well fields, the other over-standard parameters’multiple is not big except COD, mineral oils which exceed standard siriously. COD, mineral oils,NH₄⁺and so on are from formation petroleum and the additives such as PAM, CMC etc, high pH is related to calcined soda or caustic soda, Cr、Cd、Pb、As、Zn and so on are from the sidewall material which is cattied by the circulating mud,which are related to formation lithological composition.

Key words: Drilling fluids , Distribution characteristics of pollutant , , Petroleum , COD , , Heavy metal

摘要： 针对石油勘探开发过程中存在大量废弃钻井泥浆污染土壤、水体的现状,选择长庆油田陕北采区5个
井场的钻井泥浆进行污染特征分析。测定了泥浆中35项理化指标和污染指标,结果表明,废弃钻井泥浆呈粘稠状胶
体,粘度高。钻井泥浆的成分主要为粘土、聚丙烯酰胺(PAM),羧甲基纤维素(CMC)。泥浆中COD、矿物油、NH4+、
Cr、Cd、Pb、As、pH 值和色度等超标,个别井场的Zn超标,除COD、矿物油严重超标之外,其他组分超标倍数不大。
泥浆中COD、矿物油和NH ₄⁺ 等污染组分主要源于地层石油以及PAM,CMC等添加物,pH值升高与加入纯碱或烧
碱有关,而Cr、Cd、Pb、As、Zn等重金属则源于钻井过程中循环泥浆携带上来的井壁物质,与地层组成有关。

关键词: 钻井泥浆 , 污染质分布特征 , 石油 , 化学需氧量 , 重金属

WANG Ze-heng，LIU feng，WANG Yan-hua. Distribution Characteristics of Shanbei Area Pollutant in the Petrolic Drilling Fluids[J]. Journal of Liaoning Petrochemical University, 2010, 30(3): 36-40.

王泽恒,刘峰,王艳华. 陕北地区石油钻井泥浆中污染质分布特征[J]. 辽宁石油化工大学学报, 2010, 30(3): 36-40.

[1]	Guangqing CAI, Yijiong HU, Chunpeng LI, Ye JI, Hongli WANG. Gasoline Molecular Composition Prediction Based on Autoencoder Algorithm [J]. Journal of Liaoning Petrochemical University, 2024, 44(2): 1-6.
[2]	Qilei XIA, Lin LUO, Yao ZHANG. Fault Diagnosis of Chemical Processes Based on Attention⁃Enhanced Encoder⁃Decoder Network [J]. Journal of Liaoning Petrochemical University, 2024, 44(2): 63-70.
[3]	Liang Jiling，Wang Liqun，Liu Lijuan，Tian Li，Zhang Lunqiu，Wang Weiqiang. The Modification of Fe3O4@SiO2 by Silane Coupling Agent and Performance [J]. Journal of Liaoning Petrochemical University, 2019, 39(6): 21-26.
[4]	Yang Cuiling，Zhang Wei，Ge Linlin，Zhao Jiahui. Color Image Encryption Algorithm Based on Arnold and Discrete Fractional Random Transform [J]. Journal of Liaoning Petrochemical University, 2018, 38(05): 82-88.
[5]	Wang Yan， Nie Hong. Synchronous H _∞ Stabilization of TimeDelay Switched Systems under Partially DelayDependent Controllers [J]. Journal of Liaoning Petrochemical University, 2018, 38(04): 93-100.
[6]	Yang Fan, Li Yongfeng. Research Progress in Preparation and Catalytic Performance of the Carbon-Based Non Noble Metal Catalysts [J]. Journal of Liaoning Petrochemical University, 2018, 38(02): 1-8.
[7]	Wang Guoliang， Yi Chenglong. Fault Dependency Detection Method Based on Random Occurrence of Fault Signal [J]. Journal of Liaoning Petrochemical University, 2018, 38(02): 71-79.
[8]	. Removal of Sulfides from Simulated Oil by CH₃CONH₂/ZnCl₂ Deep Eutectic Solvent [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 1-7.
[9]	LiuYujuan,XuJi,TongYufei,et al. Progress in Research of the Synthesis Methods of Nanometer Ceria [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 8-12.
[10]	Liu Jindong,He Xin,Xin Dingye,et al. Change Law of Four Fractions in Residue Hydrotreating Catalyst Grading System [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 13-16.
[11]	Fu Yu,Li Xiaoou,Li Heming,et al. Enhanced Removal of the Mechanical Impurities in OilSandsOil  from Indonesia by UltrasoundSedimentation Method [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 17-21.
[12]	Wu Hao， Ma Guiyang， Xiang Nan，et al. The Effect Analysis of Settlement of Soil on Stress Fields of  Horizontal Section of Crossing Pipeline Structure [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 22-25.
[13]	Yan Rongju， Wang Weiqiang， Li Zimeng，et al. Progress of Severe Slugging in Marine Riser System [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 26-30.
[14]	Wang Long. Application of Seismic Reconstruction Inversion in Prediction of River  Channel of X Development Zone in Daqing Placantieline [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 31-37.
[15]	Zhu Bomin. Optimization of Well Spacing in Gaotaizi Reservoir  of Sazhong Development Zone [J]. Journal of Liaoning Petrochemical University, 2017, 37(5): 38-43.

Distribution Characteristics of Shanbei Area Pollutant in the Petrolic Drilling Fluids

陕北地区石油钻井泥浆中污染质分布特征

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics