Soft Torque Impact on Drilling Performance in Qatar

For S-15 and S-14 wells at South S Field, drilling of the 12-1/4” hole section became the longest tangent hole section interval of both wells. There were several challenges identified where hole problems can occur. The hole problems often occur in the unconsolidated sand layers and porous limestone formation sections of the hole during tripping in/out operations. Most of the hole problems are closely related to the design of the Bottom Hole Assembly (BHA). In many instances, hole problems resulted in significant additional drilling time. As an effort to resolve this issue, a new BHA setup was then designed to enhance the BHA drilling performance and eventually eliminate hole problems while drilling. The basic idea of the enhanced BHA is to provide more annulus clearance and limber BHA. The purpose is to reduce the Equivalent Circulating Density (ECD,) less contact area with formation, and reduce packoff risk while drilling through an unconsolidated section of the rocks. Engineering simulations were conducted to ensure that the enhanced BHA were able to deliver a good drilling performance. As a results, improved drilling performance can be seen on S-14 well which applied the enhanced BHA design. The enhanced BHA was able to drill the 12-1/4” tangent hole section to total depth (TD) with certain drilling parameter. Hole problems were no longer an issue during tripping out/in operation. This improvement led to significant rig time and cost savings of intermediate hole section drilling compared to S-15 well. The new enhanced BHA design has become one of the company’s benchmarks for drilling directional wells in South S Field.

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Incremental and acceleration production estimation and their effect on optimization of well infill locations in tight gas reservoirs

Journal of Petroleum Exploration and Production Technology ◽

10.1007/s13202-021-01179-1 ◽

2021 ◽

Author(s):

Atheer Dheyauldeen ◽

Omar Al-Fatlawi ◽

Md Mofazzal Hossain

Keyword(s):

Transient Flow ◽

Development Planning ◽

Main Role ◽

Gas Reservoirs ◽

Type Curves ◽

Field Development ◽

Drilling Performance ◽

Well Location ◽

Infill Drilling ◽

Tight Formations

AbstractThe main role of infill drilling is either adding incremental reserves to the already existing one by intersecting newly undrained (virgin) regions or accelerating the production from currently depleted areas. Accelerating reserves from increasing drainage in tight formations can be beneficial considering the time value of money and the cost of additional wells. However, the maximum benefit can be realized when infill wells produce mostly incremental recoveries (recoveries from virgin formations). Therefore, the prediction of incremental and accelerated recovery is crucial in field development planning as it helps in the optimization of infill wells with the assurance of long-term economic sustainability of the project. Several approaches are presented in literatures to determine incremental and acceleration recovery and areas for infill drilling. However, the majority of these methods require huge and expensive data; and very time-consuming simulation studies. In this study, two qualitative techniques are proposed for the estimation of incremental and accelerated recovery based upon readily available production data. In the first technique, acceleration and incremental recovery, and thus infill drilling, are predicted from the trend of the cumulative production (Gp) versus square root time function. This approach is more applicable for tight formations considering the long period of transient linear flow. The second technique is based on multi-well Blasingame type curves analysis. This technique appears to best be applied when the production of parent wells reaches the boundary dominated flow (BDF) region before the production start of the successive infill wells. These techniques are important in field development planning as the flow regimes in tight formations change gradually from transient flow (early times) to BDF (late times) as the production continues. Despite different approaches/methods, the field case studies demonstrate that the accurate framework for strategic well planning including prediction of optimum well location is very critical, especially for the realization of the commercial benefit (i.e., increasing and accelerating of reserve or assets) from infilled drilling campaign. Also, the proposed framework and findings of this study provide new insight into infilled drilling campaigns including the importance of better evaluation of infill drilling performance in tight formations, which eventually assist on informed decisions process regarding future development plans.

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A novel method for improving drilling performance of CFRP/Ti6AL4V stacked materials

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07758-0 ◽

2021 ◽

Author(s):

Nafiz Yaşar ◽

Mehmet Erdi Korkmaz ◽

Munish Kumar Gupta ◽

Mehmet Boy ◽

Mustafa Günay

Keyword(s):

Drilling Performance ◽

Novel Method

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Characterization by Scanning Electron Microscopy on Drill Boride and Drilling Performance of Tool Steels

Microscopy and Microanalysis ◽

10.1017/s1431927620014488 ◽

2020 ◽

Vol 26 (S2) ◽

pp. 388-390

Author(s):

Victor Olmos Domínguez ◽

Marco Doñu Ruiz ◽

Noe Lopez Perrusquia ◽

Leopoldo Garcia Vanegas

Keyword(s):

Electron Microscopy ◽

Scanning Electron Microscopy ◽

Tool Steels ◽

Drilling Performance ◽

Scanning Electron

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Stabilization Of In-Situ Hydrates Enhances Drilling Performance And Rig Safety

10.2118/38568-ms ◽

1997 ◽

Cited By ~ 3

Author(s):

T.R. Schofield ◽

A. Judzis ◽

M. Yousif

Keyword(s):

Drilling Performance

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Achieving Shoe to Shoe Drilling Performance in Hole Opening Applications with Rotary Steerable Systems

10.2118/105578-ms ◽

2007 ◽

Cited By ~ 1

Author(s):

Gerald Heisig ◽

James Albert Hood ◽

Olusola Okewunmi ◽

Edward W. Robnett

Keyword(s):

Drilling Performance

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Application of Real-Time Field Data to Optimize Drilling Hydraulics Using Neural Network Approach

Journal of Energy Resources Technology ◽

10.1115/1.4030847 ◽

2015 ◽

Vol 137 (6) ◽

Cited By ~ 31

Author(s):

Yanfang Wang ◽

Saeed Salehi

Keyword(s):

Neural Network ◽

Real Time ◽

Field Data ◽

Ann Model ◽

Time Data ◽

Neural Network Approach ◽

Lost Circulation ◽

Drilling Performance ◽

Artificial Neural Network Ann ◽

Pump Pressure

Real-time drilling optimization improves drilling performance by providing early warnings in operation Mud hydraulics is a key aspect of drilling that can be optimized by access to real-time data. Different from the investigated references, reliable prediction of pump pressure provides an early warning of circulation problems, washout, lost circulation, underground blowout, and kicks. This will help the driller to make necessary corrections to mitigate potential problems. In this study, an artificial neural network (ANN) model to predict hydraulics was implemented through the fitting tool of matlab. Following the determination of the optimum model, the sensitivity analysis of input parameters on the created model was investigated by using forward regression method. Next, the remaining data from the selected well samples was applied for simulation to verify the quality of the developed model. The novelty is this paper is validation of computer models with actual field data collected from an operator in LA. The simulation result was promising as compared with collected field data. This model can accurately predict pump pressure versus depth in analogous formations. The result of this work shows the potential of the approach developed in this work based on NN models for predicting real-time drilling hydraulics.

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