完整作业信息定量分析顺北油田钻完井漏失因素

doi:10.13809/j.cnki.cn32-1825/te.2021.04.016

Abstract

Abstract:

The analytical method and other qualitative research methods to guide the field leakage prevention and plugging lack of pertinence. Meanwhile, the engineering data used by the quantitative prediction method in the prediction of leakage is incomplete and how to control the leakage quantitatively by adjusting the relevant parameters is not proposed after the loss degree is predicted. In order to solve the above problems, the cocoon stripping algorithm is proposed. Selecting all measurement parameters of 27 of 29 wells in Shunbei Oilfield with average loss rate recorded, and then taking the average loss rate as the objective function, the well depth and drilling and completion fluid density as the independent variables, the multiple linear regression equation is established, and the undetermined coefficients of the equation are solved. Theoretically, T test and F test are used to prove that the equation can meet the requirements of engineering analysis. In practice, the relative error between the calculated value and the actual value of two wells that did not participate in the equation establishment is about 6 %, proving that the equation meets the needs of engineering control. Finally, 17 factors affecting the average loss rate have been screened out by the target equation simplified by the contribution rate method and the cutting element method, among which 10 drilling fluid factors contribute more than 50 %, indicating that a certain average loss rate could be controlled by adjusting the performance of drilling fluid. For the convenience of field control, the performance of drilling fluid is changed by the reading of six-speed viscometer at 300 r/min, so that the main controlling parameters of drilling fluid are reduced to two, which are pH value and the reading of six-speed viscometer at 300 r/min. The minimum average loss is predicted to be 2.3 m³/h through the analysis of the three-element equation. Considering the characteristics of Shunbei block, the leakage in Shunbei oilfield involves geological, engineering, and other operation links is found out through quantitative analysis, and so does the main controlling factors of drilling and completion leakage. By means of cutting elements, contribution rate and other methods, the minimum average leakage rate obtained by controlling the funnel viscosity and the reading of six-speed viscometer at 300 r/min is calculated. In the aspect of guiding the field practice of plugging leakage, it can provide basic data support for the subsequent construction measures to obtain the ideal leak control effect, and provide an optional means for decision-making.

Key words: drilling, well completion, drilling fluids, lost circulation, loss rate, main controlling factors, cocoon peeling algorithm, big data, Shunbei

CLC Number:

TE21

ZHENG Lihui,XU Yandong,QIU Ziyao,GENG Yunpeng,DONG Shengwei,YANG Xumin. Quantitative analysis on drilling and completion loss factors by all data in Shunbei Oilfield[J].Petroleum Reservoir Evaluation and Development, 2021, 11(4): 597-604.

Figures/Tables 4

Table 1

Fig. 1

Fig. 2

Fig. 3

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预测方法	参与处理的因素	影响因素	人为可控的主控因素
解析法	裂缝发育、地层承压能力、井筒压力、钻井液黏度、钻井液浓度、pH值	裂缝发育、地层承压能力、井筒压力、钻井液黏度、钻井液浓度、pH值	钻井液黏度、钻井液浓度、pH值
定量预测法	井深、孔隙度、破裂压力、渗透率、温度、最小水平主应力、单轴压缩强度、抗拉强度、原生裂缝方向、杨氏模量、钻井液密度、塑性黏度、漏斗黏度、钻井液固相含量、钻井液静切力	井深、孔隙度、破裂压力、渗透率、温度、最小水平主应力、单轴压缩强度、抗拉强度、原生裂缝方向、杨氏模量、钻井液密度、塑性黏度、漏斗黏度、钻井液固相含量、钻井液静切力	钻井液密度、塑性黏度、漏斗黏度、钻井液固相含量、钻井液静切力
剥茧算法	井深、垂深、大地坐标X、大地坐标Y、井斜角、方位角、孔隙度、渗透率、岩性、泵压、钻压、转速、钻时、排量、漏斗黏度、初切力、终切力、六速黏度计（600,300,200,100,6,3 r/min）读数、钻完井液失水量、固相含量、钻完井液密度、钻完井液pH值	垂深、大地坐标X、大地坐标Y、泵压、转盘转速、钻时、钻压、钻完井液pH值、漏斗黏度、初切力、终切力、六速黏度计（600,300,200,100,6,3 r/min）读数	钻完井液pH值、漏斗黏度、初切力、终切力、六速黏度计（600,300,200,100,6,3 r/min）读数

Quantitative analysis on drilling and completion loss factors by all data in Shunbei Oilfield

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