Intelligence for Digital Oilfield (WellAware)
WellAware was exploring the market for a reliable solution for collecting data from its customers’ remote well locations. According to WellAware CEO, Matt Harrison, the company’s customers have a tremendous need to tap into the intelligence provided by the digital oilfield. In selecting a provider for its network, WellAware compared the features of an array of communication technologies. Cellular provided adequate coverage, but at the rate of $25-$50 per month per device, the cost was extremely high. Satellite was even more expensive, in excess of $100 per month per device. As a typical oilfield consists of more than 1,000 wells, implementation of these technologies would quickly become cost-prohibitive. Additionally, cellular and satellite technologies were only able to deliver between 85-95 percent data availability and were not able to transmit data at sub-minute frequencies. This was not sufficient to meet the reliability expectations of WellAware’s customers.
IngenuIngenu is building the first wireless Machine Network, the world’s largest IoT network dedicated to connectivity for machines. Operating on universal spectrum, the company’s RPMA® technology is a proven standard for connecting Internet of Things (IoT) and machine-to-machine (M2M) devices around the world, with more than 35 networks deployed over seven years. The Machine Network™ will have further reach, global range and longer lasting battery life than any existing network. It is also future-proof – enabling technology solution providers to maximize their product’s efficiency and longevity, with unparalleled control and visibility. Ingenu is led by a highly experienced team and backed by one of the strongest boards in the industry, including veterans from Verizon and Qualcomm.
- CONNECTIVITY PROTOCOLS
- USE CASES
Process Control & OptimizationProcess control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
WellAware is a data company that helps exploration and production, midstream and chemical service companies reduce operating expenses, minimize downtime and ensure safety and regulatory compliance with reliable data collection, exceptionbased monitoring and actionable analytics. The company’s product solutions, WellAware Production Management platform, WellAware Midstream Management platform, WellAware Chemical Optimization for Operators platform, and WellAware Chemical Management for Service Providers platform, support customers in the three major sectors of the oil and gas industry.
Ultimately, WellAware looked to Ingenu to provide a network solution that would provide wide and deep coverage and superior reliability and security at a price that would be affordable for its users.
In evaluating Ingenu’s RPMA (Random Phase Multiple Access) technology, WellAware determined that Ingenu’s innovative network was ideally suited for its digital oilfield requirements. Purpose built from the ground up, RPMA delivered the best coverage, providing over 99.9 percent data availability and supporting tens of thousands of devices per access point. Additionally, even at low signal strength, the network was able to reliably and accurately deliver oilfield data where other networks had failed. All of this translated to an extremely wide coverage area per access point. And, because the network was able to connect with less infrastructure, capital and operating costs were significantly lower.
- DATA COLLECTED
- SOLUTION TYPE
- SOLUTION MATURITY
Emerging (technology has been on the market for > 2 years)
- OPERATIONAL IMPACT
Impact #1 [Data Management - Data Security]
With device and network authentication, encryption and other measures, RPMA insured that WellAware’s oilfield data would be transmitted securely.
Impact #2 Impact #3
- QUANTITATIVE BENEFIT
Benefit #1 WellAware oilfield network has been in operation for two years and is pre-built over several key shale plays and covers over 55,000 square miles of oilfields including the Eagle Ford, Permian, Granite Wash and Bakken. The network supports over 5,000 radios per access point and is managed and maintained for oil and gas operators by WellAware.