First Successful Run of 17.5 Inch Hybrid Bit in ADNOC Onshore to Drill Deviated Section

2021 ◽  
Author(s):  
Asif M. Khan ◽  
Frederic Chiodini ◽  
Juma Al Shamsi ◽  
Munir Bashir ◽  
Aseel Mohammed ◽  
...  
Keyword(s):  
Case History ◽  
Service Provider ◽  
Systematic Approach ◽  
Main Element ◽  
Special Design ◽  
Rate Of Penetration ◽  
History Data ◽  
Traditional Design ◽  
Drilling Operations ◽  
Drilling Bit

Abstract In the onshore drilling operation the main objective is always finding ways to optimize cost and improve the efficiency of drilling operations. Among the various available option, one possibility was to drill 17.5" deviated section in one run through the interbedded formation, which cause high vibrations and risk of twist-off. This section previously was drilled with minimum 2-3 bit runs for a heavy casing design. This would definitely reduce the well duration and cost. The plan involved to drill 17.5" deviated section using rotary steerable system using hybrid bit technology. Recent advances in drilling bit design has proved to be very effective in drilling surface hole sections but are limited to drill vertical holes and require multiple runs to complete a section. Special design and cutting structure is required when it comes to drill deviated hole. One supplier has combined the traditional design and come up with hybrid bit structure to achieve this goal of drilling surface deviated hole in one run. This special hybrid bit, drilled successfully 17.5" deviated section in one run with enhanced ROP by 40% compared to previous wells. This saved additional trips to change bit and avoided any stuck pipe and twist off. This kind of strategy has helped to maximize average ROP of 64 ft/hr for the entire section. The main element in optimizing the performance of is the systematic approach towards the bit selection, hydraulics and mud parameters. Outcome of this optimization resulted in case history data which shows that this kind of hybrid bit technology can be used to drill deviated wellbore with better penetration rates, lesser washouts and longer on-bottom time. This technical paper describes the results of first well drilled by a service provider using hybrid bit technology with rotary steerable system in one run. This has resulted in increasing the rate of penetration for the 17.5" deviated top hole section. Applying this kind of hybrid bit technology has not only enhanced the ROP but also helped to save rig days and cost.

CPT-based liquefaction case histories compiled from three earthquakes in Canterbury, New Zealand

2021 ◽  
pp. 875529302199636
Author(s):  
Mertcan Geyin ◽  
Brett W Maurer ◽  
Brendon A Bradley ◽  
Russell A Green ◽  
Sjoerd van Ballegooy
Keyword(s):  
New Zealand ◽  
Case History ◽  
Prediction Models ◽  
Free Field ◽  
Case Histories ◽  
Cone Penetration ◽  
History Data ◽  
The Past ◽  
Surface Manifestation ◽  
The Many

Earthquakes occurring over the past decade in the Canterbury region of New Zealand have resulted in liquefaction case-history data of unprecedented quantity. This provides the profession with a unique opportunity to advance the prediction of liquefaction occurrence and consequences. Toward that end, this article presents a curated dataset containing ∼15,000 cone-penetration-test-based liquefaction case histories compiled from three earthquakes in Canterbury. The compiled, post-processed data are presented in a dense array structure, allowing researchers to easily access and analyze a wealth of information pertinent to free-field liquefaction response (i.e. triggering and surface manifestation). Research opportunities using these data include, but are not limited to, the training or testing of new and existing liquefaction-prediction models. The many methods used to obtain and process the case-history data are detailed herein, as is the structure of the compiled digital file. Finally, recommendations for analyzing the data are outlined, including nuances and limitations that users should carefully consider.

Design and Simulation of a Novel Horizontal Sensitive Inertial Micro-Switch with Low G Value

2013 ◽  
Vol 336-338 ◽  
pp. 281-285
Author(s):  
Yong Liang Wang ◽  
Wen Guo Chen ◽  
Zhao Yu Wang ◽  
Gui Fu Ding ◽  
Xiao Lin Zhao
Keyword(s):  
Contact Time ◽  
Proof Mass ◽  
Quartz Substrate ◽  
Rebound Effect ◽  
Sine Wave ◽  
Special Design ◽  
Traditional Design ◽  
Fixed Electrode ◽  
G Value ◽  
Peak Value

A novel horizontal sensitive inertial micro-switch with low g value was proposed and simulated in ANSYS, and was fabricated on quartz substrate based on non-silicon surface micromaching technology. Due to this special design, the micro-switch has a very good horizontal unidirectional sensitivity. The contact effect is improved by a modification of the traditional design. The flexible contact between the proof mass electrode and fixed electrode prolongs the contact time and reduces the rebound effect. The contact time is about 100μs under a half-sine wave shock with a12g peak value.

Cementing Considerations for Casing while Drilling Operations: Case History

2007 ◽  
Author(s):  
Robert David Strickler ◽  
Pablo Alonso Solano
Keyword(s):  
Case History ◽  
Drilling Operations

A new methodology for optimization and prediction of rate of penetration during drilling operations

2019 ◽  
Vol 36 (2) ◽  
pp. 587-595 ◽  
Author(s):  
Yanru Zhao ◽  
Amin Noorbakhsh ◽  
Mohammadreza Koopialipoor ◽  
Aydin Azizi ◽  
M. M. Tahir
Keyword(s):  
Rate Of Penetration ◽  
Drilling Operations

scholarly journals Fully Parametric Optimization Designs of Wing Components

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zhendong Hu ◽  
Ju Qiu ◽  
Fa Zhang
Keyword(s):  
Optimization Design ◽  
Systematic Approach ◽  
Parametric Optimization ◽  
Structural Strength ◽  
Optimization Technique ◽  
Optimization Method ◽  
Operating Costs ◽  
Traditional Design ◽  
Structure Changes ◽  
Wing Optimization

An optimization technique called shape-linked optimization, which is different from the traditional optimization method, is introduced in this paper. The research introduces an updated wing optimization design in an effort to adapt to continuous structure changes and shapes while optimizing for a lighter weight of the structure. The changing tendencies of the thickness of wing skins and the cross-section areas of the wing beams are fitted to continuous polynomial functions, whose coefficients are designed as variables, which is a different engineering approach from the size variants of the thickness and the area in the traditional optimization. The structural strength, stiffness, and stability are constraints. Firstly, this research unearths the significance of utilizing a modernized optimization process which alters the production of the traditional 12 or over 12 segment wing design and applies new approaches and methods with less variables that contribute to expedited design cycles, decreased engineering and manufacturing expenditures, and a lighter weight aircraft with lower operating costs than the traditional design for the operators. And then, this paper exemplifies and illustrates the validity of the above claims in a detailed and systematic approach by comparing traditional and modernized optimization applications with a two-beam wing. Finally, this paper also proves that the new optimized structure parameters are easier than the size optimization to process and manufacture.

scholarly journals Prediction of Rate of Penetration for wells at Nam Con Son basin using Artificial Neural Networks models

10.29007/4sdt ◽  
2022 ◽  
Author(s):  
Vu Khanh Phat Ong ◽  
Quang Khanh Do ◽  
Thang Nguyen ◽  
Hoang Long Vo ◽  
Ngoc Anh Thy Nguyen ◽  
...  
Keyword(s):  
Network Model ◽  
Oil And Gas ◽  
Research Approach ◽  
Ann Model ◽  
Rate Of Penetration ◽  
Drilling Parameters ◽  
Drilling Operations ◽  
Ann Models ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The rate of penetration (ROP) is an important parameter that affects the success of a drilling operation. In this paper, the research approach is based on different artificial neural network (ANN) models to predict ROP for oil and gas wells in Nam Con Son basin. The first is the process of collecting and evaluating drilling parameters as input data of the model. Next is to find the network model capable of predicting ROP most accurately. After that, the study will evaluate the number of input parameters of the network model. The ROP prediction results obtained from different ANN models are also compared with traditional models such as the Bingham model, Bourgoyne & Young model. These results have shown the competitiveness of the ANN model and its high applicability to actual drilling operations.

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