Assessment of abrasivity by physico-mechanical properties of rocks

Oparin, V. N.; Tanaino, A. S.

doi:10.1007/s10913-009-0031-8

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…Due to the different drilling methods and formation rock properties, the mechanism of rock breaking is also different during the drilling process. According to the mechanism of rock breaking, there are four kinds of rock breaking method, including the impact rock breaking, the cutting rock breaking, the rolling rock breaking and the grinding rock breaking [15][16][17][18][19][20][21][22][23][24][25].…”

Section: Structurementioning

confidence: 99%

Research on the Optimization of a Drilling Rock Breaking Method Based on Fuzzy Cluster Analysis

Kun¹,

Wei²

2022

Fluid Dynamics &Amp; Materials Processing

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Improving drilling efficiency is the best way to reduce drilling costs and the choice of the drilling mode is instrumental in doing so. At present, however, a standard approach for the optimization of these processes does not exists yet. Through a comparative statistical analysis of the rock-breaking mechanisms and the characteristics of different drilling methods, this research proposes a set of cues to achieve this objective. Available statistical data are classified by means of a fuzzy cluster analysis according to the anti-drilling characteristic parameters of formation. The results show that different drilling methods rely on their own rock breaking mechanisms and have distinct characteristics. The rotary table drilling method is the most commonly used drilling mode, however, it displays some limitations with regard to deep wells, ultra-deep wells and difficult formations. The combined drilling method has the advantages of both the rotary table drilling and the down-hole power drilling modes. Polycrystalline diamond compact (PDC) drill bits can lead to good results for medium hardness and weakly abrasive formations. Underbalanced drilling for formations with high hardness and strong abrasiveness displays some limitations.

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Section: Structurementioning

confidence: 99%

Research on the Optimization of a Drilling Rock Breaking Method Based on Fuzzy Cluster Analysis

Kun¹,

Wei²

2022

Fluid Dynamics &Amp; Materials Processing

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“…The sample was placed on a clamping system and drilled with a micro-piston bit. When the drilling time is 300 s, the volume of rock breaking and the weight of the bit before and after the experiment should be recorded (Li et al 2003;Oparin and Tanaino 2009). The experimental results are shown in Fig.…”

Section: Drillability Experiments Of Cone Bitmentioning

confidence: 99%

“…There have been many studies about drill damage when drilling for oil into rock (Yaralı et al 2008;Okubo et al 2011;Oparin and Tanaino 2009;Zhang et al 2012). Most of these studies do not study at the site of drilling, but instead use rock samples.…”

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confidence: 99%

Abrasiveness evaluation of rock–cone bit based on fractured cuttings

Wang

2019

J Petrol Explor Prod Technol

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This paper looks at the influence of the sorting coefficient, average particle size and quartz content on the abrasion rate of the cone bit. This paper uses rock drillability experiments, particle sizing tests and XRD mineral component analyses as methodology. The results show that the larger the average particle size and sorting coefficient, the smaller the real contact area between the bit and the rock surface, the smaller the friction force. Meanwhile, the volume of the fractured cuttings increased. The results also show that the less the quartz content, the less hard points in the rock. All these factors lead to the reduction in drill bit damage. Because of the strong correlation among the factors of abrasiveness, this paper develops a model of the drill bit abrasion using the partial least square method. The main factors of the model are the grain size distribution and the quartz content of the rock. This model can also be used in the selection of drill bit type and the classification of rock abrasion.

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“…Many researchers investigated the effect of various factors on the CAI which are petrographic properties from thin section analyses (such as grain size, mineralogical composition, degree of cementation, quartz content, the equivalent quartz content, matrix properties), physical and geomechanical properties of rocks (such as P-wave velocity, porosity, density, strength, and young modulus) (Suana and Peters, 1982;Al-Ameen and Waller, 1994;West, 1986;Deketh, 1995;Plinninger et al, 2003;Mathier and Gisiger, 2003;Plinninger et al, 2004;Yaralı, 2005;Yaralı et al, 2008;Lassnig et al, 2008;Thuro and Kasling, 2009;Oparin and Tanaino, 2009;Khandelwal and Ranjith, 2010;Deliormanlı, 2012;Rostami et al, 2014;Hamzaban et al, 2014). Alber (2008) demonstrated that the CAI was definitely stress-dependent.…”

Section: Introductionmentioning

confidence: 99%