Real-Time Transmission of High-Resolution Images

Akimov, Oleg; Baule, Ansgar; Bethge, Jens; Roessel, Thorsten; Tilsley-Baker, Richard

doi:10.2523/100358-ms

Cited by 2 publications

(1 citation statement)

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“…Exploration and drilling activities have long acknowledged the need for high-speed real-time data rate technologies driven by several factors which include high density logging data, safety real-time drilling information and managing economic risk by enabling more accurate information for formation evaluation (Su et al 2011). Faster downhole to surface data transmission systems requires high-speed realtime data transmission that will not only improve the drilling efficiency, but also will greatly reduce the risk of any other engineering accident (Akimov et al 2006;Hartmann et al 2012).…”

Section: Introductionmentioning

confidence: 99%

A review of mud pulse telemetry signal impairments modeling and suppression methods

Mwachaka

2018

J Petrol Explor Prod Technol

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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 been widely adopted into real-time drilling and logging data measurements for deep formation evaluation decision-making. However, the increased downhole information quantity and quality requirements have elevated demands for greater bandwidth and higher data rate transmission. Maximum possible mud pulse telemetry data rates are obstructed by unpredictable signal impairments. Researchers have implemented numerous downhole signal modulation techniques, data compression algorithms and surface receiver noise cancellation techniques to lower bit errors and increase signal-to-noise ratio. This study reviews mud pulse telemetry system signal transmission challenges and current countermeasure trends. Rigorous technical literature reviews from exploration and drilling oilfield service industry have been at the receiving end debated. Mud channel signal characteristics, signal attenuation factors, signal detection and decoding techniques are critical to successful mud pulse operations. To minimize exploration, drilling and economic risks, this study explores mud pulse data transmission challenges, strategies and possible technical solutions to the next generation engineers and scholars in the field.

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Section: Introductionmentioning

confidence: 99%

A review of mud pulse telemetry signal impairments modeling and suppression methods

Mwachaka

2018

J Petrol Explor Prod Technol

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Geosteering Improvement With A Telemetry Model

Hartmann

Akimov

Morris

et al. 2011

SPE Middle East Oil and Gas Show and Conference

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Introduction of new measurements constantly increases the amount of real-time data from logging-while-drilling (LWD) services. This is matched by telemetry technologies that provide data rates from bits to Mbits per seconds. During a deployment, the bandwidth is shared between several services requiring different data rates, leaving the user with the task to align telemetry technology and shared data rates to the application. High-volume services often allow for data compression. Lossless or near lossless compression provides best data quality but makes a service greedy for bandwidth. Lossy compression drastically reduces bandwidth usage, but may result in degraded data quality. Thus, planning the telemetry must be closely tied to the service objectives and expert advice is required. We present a planning approach where we model the real-time data compression of an LWD high-resolution imaging tool that uses a flexible compression algorithm. This system allows lossy compression for telemetry rates as low as 1 bit/s, while at the same time can deliver memory data quality using high-speed telemetry technology. The compression rate determines the image resolution and must be adjusted to the detail required in the transmitted image. Using offset well data or simulated memory data, the expected real-time image is simulated and its level of detail quantified. For instance, the presence and appearance of fractures in real time can be forecasted. This enables us to optimize telemetry usage and define compression and drilling parameters for a successful deployment of the imaging service. The paper will outline the methods and benchmark the technology using real-time data measured during field deployments. We will then use parameter variations to show how increasing net bandwidth improves the amount of detail in the images and how these are used for different levels of real-time data interpretation.

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Real-Time Transmission of High-Resolution Images

Cited by 2 publications

References 0 publications

A review of mud pulse telemetry signal impairments modeling and suppression methods

A review of mud pulse telemetry signal impairments modeling and suppression methods

Geosteering Improvement With A Telemetry Model

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