Study on modified maximum extension length prediction model for horizontal wells considering differential sticking

Li, Xin; Gao, Deli; Lu, Baoping; Zeng, Yanjun; Zhang, Jincheng

doi:10.1016/j.petrol.2019.106371

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…A horizontal well [39][40][41] is adopted to conduct a case study, consisting of a vertical section, a build-up section, and a horizontal section. The trajectory data and the input data of model calculation are separately presented in Tables 1 and 2.…”

Section: Resultsmentioning

confidence: 99%

Study on the Surge-Swab Pressure considering the Effect of the Cutting Plug in Shale Drilling

Tan

Zhang

et al. 2021

Geofluids

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Wellbore instability is a frequent problem of shale drilling. Accurate calculation of surge-swab pressures in tripping processes is essential for wellbore pressure management to maintain wellbore stability. However, cutting plugs formed in shale horizontal wells have not been considered in previous surge-swab pressure models. In this paper, a surge-swab pressure model considering the effect of cutting plugs is established for both open pipe string and closed pipe string conditions; In this model, the osmotic pressure of a cutting plug is analyzed. The reduction of cutting plug porosity due to shale hydration expansion and dispersion is considered, ultimately resulting in an impermeable cutting plug. A case study is conducted to analyze swab pressures in a tripping out process. The results show that, in a closed pipe condition, the cutting plug significantly increases the swab pressures below it, which increase with the decrease of cutting plug porosity and the increase of cutting plug length. Under the give condition, the swab pressure at the bottom of the well increases from 3.60 MPa to 8.82 MPa due to the cutting plug, increasing by 244.9%. In an open pipe string condition, the cutting plug affects the flow rate in the pipes and the annulus, resulting in a higher swab pressure above the cutting plug compared to a no-cutting plug annulus. The difference increases with the decrease of the porosity and the increase of the length and the measured depth of the cutting plug. Consequently, the extra surge-swab pressures caused by cutting plugs could result in wellbore pressures out of safety mud density window, whereas are ignored by previous models. The model proposes a more accurate wellbore pressure prediction and guarantees the wellbore stability in shale drilling.

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Section: Resultsmentioning

confidence: 99%

Study on the Surge-Swab Pressure considering the Effect of the Cutting Plug in Shale Drilling

Tan

Zhang

et al. 2021

Geofluids

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“…A sensitivity analysis is performed to give an insight into parameter optimization. A three-section horizontal well is designed based on the work of Li et al [30,40] and simplified for convenience, including a vertical section, a building section and a horizontal section. The trajectory data of the horizontal well is shown in Table 1.…”

Section: Case Studymentioning

confidence: 99%

Study on the Mechanical Extended-Reach Limit Prediction Model of Horizontal Drilling with Dual-Channel Drillpipes

Tan

Zhang

2021

Energies

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Extended-reach horizontal wells are critical for the development of unconventional reservoirs. Dual-channel drill pipe drilling has a great advantage in improving the horizontal section length, while the research on its mechanical extended-reach limit prediction model is insufficient. In this paper, the torque and drag model is built considering the additional axial force of the sliding piston on the dual-channel drillpipe. Based on the torque and drag model, the mechanical extended-reach limit model for dual-channel drilling is established. A case study including a comparison to the conventional drilling method and sensitivity analysis is conducted. The result shows that under the same conditions, the mechanical extended-reach limit of the dual-channel drilling method is 10,592.2 m, while it is 9030.6 m of the conventional drilling method. The dual-channel drilling method achieves a further mechanical extended-reach limit than the conventional drilling method. To improve the mechanical extended-reach limit of dual-channel drilling, a higher back pressure on the sliding piston, a deeper measured depth of the sliding piston, a higher density of the passive drilling fluid, a smaller outer diameter of the outer pipe, a lower weight on bit and rate of penetration should be adopted. The work in this paper completes the extended-reach limit theory of dual-channel drilling, providing a guide for better use in unconventional reservoir development.

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“…Extended reach wells refer to drilling operations that involve reaching reservoir targets located at considerable distances from the surface drilling location. 1 These wells typically have high horizontal sections and can extend for several kilometers. 2 The primary objective of extended reach wells is to access remote or hard-to-reach hydrocarbon reserves while minimizing the number of surface locations and drilling costs.…”

Section: Introductionmentioning

confidence: 99%

“…Extended reach wells refer to drilling operations that involve reaching reservoir targets located at considerable distances from the surface drilling location . These wells typically have high horizontal sections and can extend for several kilometers .…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study and Machine Learning Modeling of Shale Swelling in Extended Reach Wells When Exposed to Diverse Water-Based Drilling Fluids

Tariq,

Murtaza,

Alrasheed

et al. 2024

Energy Fuels

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Shale swelling poses considerable challenges for companies involved in extended-reach well drilling, particularly when it comes to maintaining wellbore stability. Despite the incorporation of swelling inhibitors in water-based drilling fluids (WBDFs), shale swelling can persist as an issue. Currently, the assessment of WBDFs' ability to prevent swelling usually involves costly, timeconsuming, and labor-intensive laboratory experiments. Therefore, this study leverages machine learning techniques (ML) to forecast the dynamic linear swelling behavior of sodium bentonite-based shale wafers. These shale wafers were subjected to different WBDFs containing diverse inorganic salts such as sodium chloride (NaCl), potassium chloride (KCl), magnesium chloride (MgCl 2 ), and calcium chloride (CaCl 2 ). To gather sufficient data to train the ML models, an extensive experimental study was conducted using various WBDF formulations. The experiments were conducted on wafers, wherein each wafer treated with an inorganic salt underwent a linear swell test for 120 h until the swelling reached a plateau. Moreover, the conductivities and zeta potential of WBDFs, which were prepared using varying concentrations of salts, were recorded. Several ML techniques, namely gradient boosting, decision trees, adaptive gradient boosting (AdaBoost), K-nearest neighbors, random forest, extreme gradient boosting, and stacked generalized regression (SGR) were used to forecast shale swelling. The ML models were trained using input features such as salt types, salt concentrations, salt conductivities, salt zeta potential, and elapsed time. The results revealed that the SGR model outperformed other techniques by effectively predicting linear swelling in terms of coefficient of determination (R 2 ) above 0.95. The developed ML model offers an efficient approach to assess the maximum swelling potential of various WBDFs that can help in effectively mitigating the wellbore instability concerns by continuously evaluating the interaction between shale and the drilling fluid for drilling for extended reach or maximum contact wells.

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Study on modified maximum extension length prediction model for horizontal wells considering differential sticking

Cited by 9 publications

References 14 publications

Study on the Surge-Swab Pressure considering the Effect of the Cutting Plug in Shale Drilling

Study on the Surge-Swab Pressure considering the Effect of the Cutting Plug in Shale Drilling

Study on the Mechanical Extended-Reach Limit Prediction Model of Horizontal Drilling with Dual-Channel Drillpipes

An Experimental Study and Machine Learning Modeling of Shale Swelling in Extended Reach Wells When Exposed to Diverse Water-Based Drilling Fluids

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