Measurement while drilling
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Novel Water-Based Drilling and Completion Fluid Technology to Improve Wellbore Quality During Drilling and Protect Unconventional Reservoirs Open
The efficient exploration and development of unconventional oil and gas are critical for increasing the self-sufficiency of oil and gas supplies in China. However, such operations continue to face serious problems (e.g., borehole collapse,…
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Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network Open
Rate of penetration (ROP) enhancement serves as a key factor in reducing drilling time and hence drilling costs. ROP enhancement requires identification of the parameters affecting this rate. However, the large number of effective paramete…
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Application of Measurement While Drilling Technology to Predict Rock Mass Quality and Rock Support for Tunnelling Open
A tunnelling project is normally initiated with a site investigation to determine the in situ rock mass conditions and to generate the basis for the tunnel design and rock support. However, since site investigations often are based on limi…
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A review of mud pulse telemetry signal impairments modeling and suppression methods Open
Exploration and drilling operations are the most costly and risky activities that require logging while drilling effective tool operation and high speed real-time data transmission. Among other logging technologies, mud pulse telemetry has…
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Improved filtering and normalizing of Measurement-While-Drilling (MWD) data in tunnel excavation Open
Measurement-While-Drilling (MWD) data are complex because of the drilling process and drilling system. Swift and accurate normalization and filtration processes are required if MWD data are to be used for rock mass characterization. The cu…
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Detection of potential overbreak zones in tunnel blasting from MWD data Open
The damage from blasting to the remaining rock mass is analyzed with the purpose of developing a drilling index from measure while drilling (MWD) parameters, able to predict high risk of potential over- and under-excavated zones produced b…
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Model-Based Robust Control of Directional Drilling Systems Open
To enable access to unconventional reservoirs of oil and (shale-) gas, geothermal energy and minerals, complex curved boreholes need to be drilled in the earth's crust. Directional drilling techniques, incorporating down-hole robotic actua…
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Estimating rock properties using sound signal dominant frequencies during diamond core drilling operations Open
In many engineering applications such as mining, geotechnical and petroleum industries, drilling operation is widely used. The drilling operation produces sound by-product, which could be helpful for preliminary estimation of the rock prop…
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New Artificial Neural Networks Model for Predicting Rate of Penetration in Deep Shale Formation Open
Rate of penetration (ROP) means how fast the drilling bit is drilling through the formations. It is known that in the petroleum industry, most of the well cost is taken by the drilling operations. Therefore, it is very crucial to drill car…
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Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques Open
A procedure to recognize individual discontinuities in rock mass from measurement while drilling (MWD) technology is developed, using the binary pattern of structural rock characteristics obtained from in-hole images for calibration. Data …
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Hybrid data driven drilling and rate of penetration optimization Open
Optimizing the drilling process for cost and efficiency requires faster drilling with a higher rate of penetration (ROP). A high ROP usually indicates fast and cost-efficient drilling operations; however, high ROPs may induce unintended ev…
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Comparison of accuracy and computational performance between the machine learning algorithms for rate of penetration in directional drilling well Open
Oil and gas reservoirs are of the main assets of countries possessing them. Production from these reservoirs is one of the main concerns of engineers, which can be achieved by drilling oil and gas reservoirs. Construction of hydrocarbon we…
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JUSTIFICATION OF THE TECHNOLOGICAL PARAMETERS CHOICE FOR WELL DRILLING BY ROTARY STEERABLE SYSTEMS Open
Paper presents the analysis of the investigation results of vibrational accelerations and beating amplitudes of the downhole drilling motor, which help to define the ranges of optimum energy characteristics of the gerotor mechanism, ensuri…
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Establishing relationships between structural data from close-range terrestrial digital photogrammetry and measurement while drilling data Open
Geologists, mine planners, geotechnical, and mining engineers always strive for maximum information to get a better insight of the rock mass before interacting with it. Over the recent decades, close-range terrestrial digital photogrammetr…
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Improving drilling performance through optimizing controllable drilling parameters Open
The prediction of the drilling rate of penetration (ROP) is one of the key aspects of drilling optimization due to its significant role in reducing expensive drilling costs. Many variables could affect ROP, which can be classified into two…
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Determination of a safe mud window and analysis of wellbore stability to minimize drilling challenges and non-productive time Open
The instability of a wellbore is still one of the common problems during drilling. The cause of such a borehole failure can often be mitigated by suitably determining the critical mud pressure as well as the best well trajectory. Therefore…
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Artificial Intelligence for Lithology Identification through Real-Time Drilling Data Open
In order to reduce drilling problems such as loss of circulation and kick, and to increase drilling rate, bit optimization and shale swelling prohibition, it is important to predict formation type and lithology in a well before drilling or…
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Rock support prediction based on measurement while drilling technology Open
In tunnelling, rock mass support is designed based on the observed rock mass conditions. These conditions are determined by rock mass characterization. Measurement while drilling (MWD), one such characterization method, acquires drill para…
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Deep Learning and Time-Series Analysis for the Early Detection of Lost Circulation Incidents During Drilling Operations Open
Drilling operations consist of breaking the rock to deepen a wellbore for oil or gas extraction. A drilling fluid, circulating from the surface through the drill pipe and from the annulus to the surface, is used to remove rock cuttings and…
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Preliminary estimation of rock mass strength using diamond bit drilling operational parameters Open
In many mining engineering applications such as prospecting, development, production and grouting, diamond bit drilling is widely used due to high penetration rate, core recovery and its ability to drill with less deviation. It has been we…
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Distributed Fiber Optic Sensing for Real-Time Monitoring of Gas in Riser during Offshore Drilling Open
Effective well control depends on the drilling teams’ knowledge of wellbore flow dynamics and their ability to predict and control influx. Unfortunately, detection of a gas influx in an offshore environment is particularly challenging, and…
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Drilling load modeling and validation based on the filling rate of auger flute in planetary sampling Open
Some type of penetration into a subsurface is required in planetary sampling. Drilling and coring, due to its efficient penetrating and cuttings removal characteristics, has been widely applied in previous sampling missions. Given the comp…
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Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques Open
Improper hole cleaning or drilled-cutting transportation impacts drilling operations. To illustrate, inefficient cleaning of the wellbore can lead to many drilling problems such as low drilling rate (i.e. low ROP), early bit wear and, in t…
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Wireless Digital Communication Technologies for Drilling: Communication in the Bits\/s Regime Open
Drilling is the riskiest activity in the oil-field exploration and development stage. Real-time measurements are needed to monitor drilling conditions to keep it in the safe operating envelope, guide the drilling system into the most produ…
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Process Monitoring in Heavy Duty Drilling Rigs—Data Acquisition System and Cycle Identification Algorithms Open
The monitoring of drilling processes is a well-known topic in the mining industry. It is widely used for rock mass characterization, bit wear monitoring and drilling process assessment. However on-board monitoring systems used for this pur…
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An Integrated Approach for Drilling Optimization Using Advanced Drilling Optimizer Open
The ability to optimize drilling procedures and economics involves simulation to understand the effects operational parameters and equipment design have on the ROP. An analysis applying drilling performance modeling to optimize drilling op…
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Some research advances in well engineering technology for unconventional hydrocarbon Open
How to exploit efficiently unconventional hydrocarbon has become an important step to solve the problem of increasing reserve and production of oil & gas in China. Aiming at unconventional oil & gas well engineering problems such as large …
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Drilling Performance Optimization Based on Mechanical Specific Energy Technologies Open
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…
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Machine Learning Models for Equivalent Circulating Density Prediction from Drilling Data Open
Equivalent circulating density (ECD) is considered a critical parameter during the drilling operation, as it could lead to severe problems related to the well control such as fracturing the drilled formation and circulation loss. The conve…
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New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling Open
Synthetic well log generation using artificial intelligence tools is a robust solution for situations in which logging data are not available or are partially lost. Formation bulk density (RHOB) logging data greatly assist in identifying d…