Modeling Temporary Plugging Agent Transport in the Wellbore and Fracture with a Coupled Computational Fluid Dynamics–Discrete Element Method Approach

Sui, Weibo; Tian, Yingying; Zheng, Yizhen; Dong, Kai

doi:10.1021/acs.energyfuels.0c04056

Cited by 11 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Normalization of the data depends on the transfer function used to build the ANN. When using logistic Sigmoid functions as the transfer function, with input and target data in the range (0, 1), use equation (7) to process the functions:…”

Section: Artificial Neural Networkmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method

Song

et al. 2022

Geofluids

View full text Add to dashboard Cite

Bridging plugging is the most used method of plugging in unconventional oil reservoirs, and many factors affect the effect of bridging and plugging. Since the laboratory cannot simulate the actual leakage size of the lost formation and the corresponding leakage plugging process at the drilling site, the laboratory experiment results cannot reflect the actual leakage plugging construction effect. Aiming at the problem of frequent fracture leakage during drilling in Chepaizi block, Xinjiang, China, this paper proposes a set of machine learning methods based on a neural network. Three types of factors and 14 parameters with a strong correlation with the leakage control effect were screened out. Three categories of factors include construction parameters, choice of plugging material, and fluid properties of the carrier fluid. The training was carried out based on the collected field data, the appropriate activation function was set, and the deep well network structure was optimized. By improving the field plugging measures in the later period, the model was verified by these actual cases, and the results showed that the established model produced the highest R 2 of 0.974, has a good fit, and predicts well.

show abstract

Section: Artificial Neural Networkmentioning

confidence: 99%

“…Pump speed, pump pressure, the formula of bridging and plugging materials, and the viscosity of drilling fluid or particular plugging slurry will all affect the quality of the plugging layer. Poor quality plugging layer is the main reason for the failure of plugging [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method

Song

et al. 2022

Geofluids

View full text Add to dashboard Cite

show abstract

“…10 Granular TPA has been widely used because of its advantages such as safe construction, easy regulation of particle size, and convenient operation and transportation. 11 After TPA particles of different sizes are injected into the fracture, the larger particles will first form bridges in the fracture. Then, the smaller particles are further filled into the holes between the large particle TPA to form a plugging zone.…”

Section: Introductionmentioning

confidence: 99%

“…At present, most of the temporary plugging fracturing experiments are carried out in rock, and the results show that the TPA can plug the major fracture to increase the fracture complexity . Granular TPA has been widely used because of its advantages such as safe construction, easy regulation of particle size, and convenient operation and transportation . After TPA particles of different sizes are injected into the fracture, the larger particles will first form bridges in the fracture.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Transport Law of Different Fracturing Granular Materials in Fracture

Guo

et al. 2022

Energy Fuels

View full text Add to dashboard Cite

Hydraulic fracturing is an important technology for the development of unconventional oil and gas. The complexity and filling of fractures are important factors for determining the fracturing effect. In order to control the fracture shape and improve the filling of the fracture, it is necessary to inject granular materials such as a temporary plugging agent (TPA) and special performance proppant into the fracture. Understanding the transport law of these granular materials in the fracture can guide us to optimize the fracturing scheme and improve the fracturing effect. In this paper, we studied the transport characteristics of granular TPA, floating agent, new coated quartz sand, micron proppant, ultra-low-density (ULD) proppant, and conventional quartz sand based on the large visual granular transport equipment. The results show that when the TPA of different sizes is injected successively to plug fractures, 20 mPa•s fracturing fluid is suggested for carrying 16/20 mesh TPA in the early stage, and slickwater is suggested for carrying 40/60 mesh TPA in the later stage. The methods of stopping the pump many times with low floating agent concentration or stopping the pump once with high concentration are two ways to realize that the floating agent is laid in the upper part of the fracture to form an artificial barrier. When the injection rate is large, we can only choose the latter. In slickwater, the newly coated quartz sand produces bubbles on its surface and adsorbs each other, which enhances its transport capacity and reduces the amount of sand used. Micron proppant and ULD proppant have the characteristics of less settlement in the major fracture and more settlement in the branched fracture, so they are suitable for filling branched fractures.

show abstract

“…For example, in the fracturing process of unconventional petroleum reservoirs, to further increase the stimulated reservoir volume, TPAs can be injected after fracturing. 4,6 It can produce high-strength plugging of the original fractures so that the refracturing work can be successfully completed, thereby increasing a single well's production. 7,8 It can make fracturing construction less complicated, and the number of segmented tools improve stimulation efficiency and effectively reduce fracturing costs.…”

Section: Introductionmentioning

confidence: 99%

Effect of Crosslinker Types on Temporary Plugging Performance of Degradable Preformed Particle Gels for Unconventional Petroleum Reservoir Development

Zhu

Gong

Wang³

et al. 2022

Energy Fuels

View full text Add to dashboard Cite

Temporary plugging agents (TPAs) have been widely used in unconventional petroleum reservoirs to increase the stimulated reservoir volume and generate an easier flow of oil and gas into the production well. The properties of particle-gel-based TPAs include a straightforward injection procedure, excellent deformation, strong plugging strength, and total self-degradation. This study prepared degradable preformed particle gel (DPPG) samples polymerized by two types of crosslinkers (i.e., alcohol ester and alkenoic acid ester) for low-temperature (less than 40 °C) reservoirs. The effects of different crosslinkers in the DPPG compositions on the temporary plugging performance were investigated. Infrared spectrum analysis, differential calorimetry scanning evaluation, static particle gel swelling and degradation performance assessment experiments, and dynamic temporary plugging performance tests were all employed. The results showed that the swelling ratio of DPPGs prepared by the crosslinker containing alcohol ester was larger than that of alkenoate acid ester, but the degradation rate was slower. Among them, when the amount of crosslinker was 0.01 g, the swelling ratio of DPPG prepared using the alcohol ester crosslinker was as high as 40 times, and the complete degradation time could be regulated between 80 and 360 h. When the type of crosslinker was the same, the influence of its molecular weight also significantly affected the performance of the particle gel. The plugging strength of DPPG prepared by different crosslinkers in cores was as high as 20 MPa. The DPPG prepared from the alcohol ester crosslinker caused less damage to the core after being self-degraded and was used as an ideal crosslinker. Infrared spectroscopy and differential scanning calorimetry analysis at the molecular level verified that different types of crosslinkers had apparent effects on the chemical structure stability of the DPPG. In this paper, the influence of the type of crosslinker on the performance of the DPPG was studied, which provides a new idea and theoretical basis for developing a particle gel-based TPA system with programmed self-degradation time at low temperatures.

show abstract

Modeling Temporary Plugging Agent Transport in the Wellbore and Fracture with a Coupled Computational Fluid Dynamics–Discrete Element Method Approach

Cited by 11 publications

References 26 publications

Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method

Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method

Experimental Study on the Transport Law of Different Fracturing Granular Materials in Fracture

Effect of Crosslinker Types on Temporary Plugging Performance of Degradable Preformed Particle Gels for Unconventional Petroleum Reservoir Development

Contact Info

Product

Resources

About