The Transient Temperature Prediction in the Deepwater Riserless Well

Feng, Minghui; Teodoriu, Cătălin; Schubert, Jerome

doi:10.1115/1.4051032

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…They proved that their model can more accurately predict high pressure gas invasion in riserless drilling by reproducing field data and comparing with existing models. Feng et al 8 analyzed the transient heat problem of circulating fluid in riserless drilling and verified the temperature distribution in riserless drilling. Chagas et al 9 applied the results of a computational well control simulator using the Driller method to understand the thermodynamic behavior of synthetic drilling fluids, such as n-alkanes and ester based drilling fluids.…”

Section: Introductionmentioning

confidence: 99%

Study on dynamic characteristics of drill string in deep-water riserless drilling

Huang

Yang

et al. 2023

Advances in Mechanical Engineering

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The cost and security of ocean drilling are directly related to the efficient exploration and development of ocean resources. The riserless drilling system is usually adopted in the ocean drilling. With the consideration of marine environment load, a dynamic analysis model of drill string in deep-water riserless drilling is established. This model aims to analyze the dynamic characteristics of drill string in the water and down hole during the process of deep-water riserless drilling. The research results are as follows. For the drill string in water, its displacement increase with the increase of ocean current velocity, water depth, rotation speed, and WOB. But the rotation speed and WOB have less influence. The drill string in down hole shows the same pattern. However, the drill string in down hole is only affected near the mud line and the bit, and the rest of the drill string is almost unaffected. In deep-water riserless drilling, stress on the drill string at the wellhead, near the mudline, and at the bottom hole assembly (BHA) is complex. The safety of drill string at these locations should be given great attention.

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Section: Introductionmentioning

confidence: 99%

Study on dynamic characteristics of drill string in deep-water riserless drilling

Huang

Yang

et al. 2023

Advances in Mechanical Engineering

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“…Like the preceding one, this method differs in the drilling fluid variables (Bassam et al 2010). Feng et al (2012) examined the temperature prediction in deep vertical oil and gas wells. Different analytical approaches were presented in the paper.…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence in Static Formation Temperature Estimation

Al-Fakih

Kaka

2023

Arab J Sci Eng

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This study presents a new model to predict the static formation temperature at multiple oil fields using multiple machine learning algorithms. Results are compared with the real temperatures obtained from two wells. The model developed in this study predicts static formation temperature according to several machine learning algorithms including artificial neural networks, fuzzy logic, k-nearest neighbors, and random forest algorithms. The following are the key findings: various geothermal wells in distinct fields or formations may have different machine learning connections. However, if a connection is defined using adequate field data, it is clear that static formation temperature can be approximated with great accuracy. Based on machine learning models we developed a novel model for forecasting static formation temperature, examined the modeling data and outcomes, and found that Random Forest, Fuzzy logic, and K-nearest neighbors outperformed Artificial Neural Network. Therefore, the performance of the proposed model for estimating static well temperature achieved a mean absolute percentage (AAPE) of 0.003%, and the coefficient of determination (R 2 ) is 0.99%. When the classical (mathematical) methods were compared to the artificial intelligence methods, the artificial intelligence methods produced more accurate results with varying percentages. The findings generated by the unique new model computation and the measured test data are substantially matched when compared to computed data and observed temperature data. The novelty of this newly developed AI model is that it will serve as a practical and inexpensive tool for SFT determination in geothermal and petroleum wells.

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Effect of Instantaneous Starting Pump on Fluid Transient Flow in Managed Pressure Cementing

Zhang,

Xiang,

Ding

et al. 2023

Journal of Energy Resources Technology

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The fluctuating pressure generated by the instantaneous starting pump of cementing operation might easily cause formation fracture in narrow safety window formations. Accurate transient fluctuating pressure calculation and dynamically managed backpressure are required to achieve precise control of wellbore pressure in managed pressure cementing. Considering the transient flow characteristics of cementing fluids in the wellbore, unsteady transient friction, and the variation of high pressure-high temperature (HTHP) cementing fluid properties, a transient flow mathematical model of instantaneous starting pump during managed pressure cementing is established, and the method of characteristics is used for solution. Based on tht established model analyzes the magnitude and variation of wellbore pressure under different model factors, temperature conditions, pump start duration, and target pump flowrate, which can achieve more accurate analysis of transient flow. The pressure and flow fluctuations generated during the instantaneous starting pump of cementing are significant, and the dynamically managed wellhead backpressure can effectively control the wellbore pressure in the safe pressure window formations. This can reduce the risk of well leakage and provide reliable technical support for safe operations of instantaneous starting pumps during managed pressure cementing.

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The Transient Temperature Prediction in the Deepwater Riserless Well

Cited by 3 publications

References 11 publications

Study on dynamic characteristics of drill string in deep-water riserless drilling

Study on dynamic characteristics of drill string in deep-water riserless drilling

Application of Artificial Intelligence in Static Formation Temperature Estimation

Effect of Instantaneous Starting Pump on Fluid Transient Flow in Managed Pressure Cementing

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