Real-Time Prediction and Optimization of Drilling Performance Based on a New Mechanical Specific Energy Model

Chen, Xuyue; Fan, Honghai; Guo, Boyun; Gao, Deli; Wei, Hongshu; Yang, Zhi

doi:10.1007/s13369-014-1376-0

Cited by 45 publications

(20 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, sodium and calcium ions are major contaminants to freshwater-based mud systems. These ions tend to replace the sodium ions on the clay surface through a base exchange, thus causing undesirable changes in mud properties such as rheology and filtration (Chen et al 2014). It also causes added thinners to the mud system to become ineffective.…”

Section: Resultsmentioning

confidence: 99%

Preliminary evaluation of gellan gum as mud thickener

Chang

2015

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

Gellan gum (GLG) is a biopolymer widely used in food industry. This paper investigates the potential of high acyl GLG as additive for drilling mud. The impacts of temperature, sodium, potassium and calcium ions on mud properties were tested. Experiments show that GLG is able to effectively increase viscosity of drilling mud, but has no significant effect on filtrate loss. Gellan gum, in a unique way, boosts mud viscosity more effectively at elevated temperature. Low concentrations of sodium and potassium ions cause mud viscosity to escalate, but mud properties stabilize at high concentrations of monovalent ions. On the other hand, calcium ion depresses mud viscosity and yield point. This study demonstrates that GLG has the potential to be employed as mud thickener in drilling operations.

show abstract

Section: Resultsmentioning

confidence: 99%

Preliminary evaluation of gellan gum as mud thickener

Chang

2015

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

show abstract

“…(17), (18) and (19) into Eq. 10, then we get the formula between WOB and WOB b in horizontal well [12]. Figure 1 shows the relationship between weight on the bit ratio and bottom hole inclination, it indicates that there is a big difference between the surface measured WOB and bottom hole WOB b for horizontal well drilling.…”

Section: Model Of Bottom Hole Wob Bmentioning

confidence: 99%

“…However, WOB is always read based on the surface measurement, which is not the bottom hole real WOB. As for directional and horizontal drilling, there is a great difference between the bottom hole real WOB and the WOB of surface measurement [12]. And every bit has a certain mechanical efficiency in drilling even for the new bits, thus Pisser's model has a limited application and also exists a certain error in MSE calculation.…”

Section: Mechanical Specific Energy Model Development 21 Key Modelsmentioning

confidence: 99%

“…In the above MSE models, MSE's calculation containing even large sources of error due to the majority of field data is in the form of surface measurements. Especially in directional and horizontal drilling, WOB and torque of surface measurement differs greatly from bottom hole actual WOB b and torque [12]. Therefore, few of the above MSE models can precisely model the actual downhole drilling in directional or horizontal wells.…”

Section: Mechanical Specific Energy Model Development 21 Key Modelsmentioning

confidence: 99%

“…(20) and (22) in Teale model (Eq. (1)) and consider the mechanical efficiency (E m ) of the new bit, we can get a new model of MSE which can be shown as [12].…”

Section: Mechanical Specific Energy Model Of Directional or Horizontamentioning

confidence: 99%

See 2 more Smart Citations

Drilling Performance Optimization Based on Mechanical Specific Energy Technologies

Chen¹,

Yang²,

Gao³

2018

Drilling

Self Cite

View full text Add to dashboard Cite

Mechanical specific energy (MSE) has been widely used to quantify drilling efficiency and maximize rate of penetration (ROP) in oil and gas wells drilling. In this chapter, MSE models respectively for directional or horizontal drilling and rotating drilling with positive displacement motor (PDM) are established based on the evaluation of virtues and defects of available MSE models. Meanwhile methods for drilling performance prediction and optimization based on MSE technologies are presented. Field data presented in this chapter indicates that the developed MSE models estimate MSE values with a reasonable approximation in the absence of reliable torque measurements, the method for optimizing drilling parameters can estimate optimum WOB values with different RPM to drill a specific formation interval with PDM. It also show that the optimum WOB is low for rotating drilling with PDM compared with the conventional drilling without PDM, increasing WOB does not always increase ROP but is more likely to decrease ROP. The drilling performance prediction and optimization methods based on MSE technologies could be effectively used to maximize ROP and allow operators to drill longer and avoid unnecessary trips, and is worthy to be applied and promoted with highly diagnostic accuracy, effective optimizing and simple operation.

show abstract