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US Job Numbers Up for OFS and Equipment Industry, But Outlook Remains Unclear The increase in OFS and equipment sector jobs over the past 2 months came amid higher oil and gas production. But increases in COVID-19 cases are causing uncertainty about when and how much demand will rise. Texas Regulator To Place New Limits on Allowable Flaring Oil and gas producers in the state are being asked to submit data and economic analysis on why they cannot sell natural gas before they are granted permission to flare it. UAE Has Become World’s Newest Producer of Unconventional Gas The first delivery of shale gas in the UAE marks a major milestone toward its goal of reaching 1 Bcf/D by 2030. It also signals the expansion of hydraulic fracturing in the UAE’s conventional fields.
The authors first describe the similarities and differences of a BHA and a stringed instrument. The string of a violin, for example, typically has two fixed nodal points: the first at the bridge, which does not change, and the second at the position of the musician’s finger, which is moved along the fingerboard in order to play notes of different frequencies. The finger pressing on the string causes it to have zero displacement at that location, which defines a nodal point. Additional nodal points may occur in the motion of the string as harmonics of the fundamental mode, but these are not considered to be fixed nodes because the amplitudes of the harmonics vary. The string is relatively flexible, so it can be described adequately with a second-order differential equation. This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 197231, “Recognition and Mitigation of the Bottomhole Assembly Lateral Vibration Chatter Mode,” by Jeffrey R. Bailey, SPE, and Harshit Lathi, ExxonMobil, and Matthew T. Prim, SPE, ADNOC, et al., prepared for the 2019 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, 11–14 November. The paper has not been peer reviewed.
The United Arab Emirates’ (UAE) chief energy regulator has announced that the country holds a substantial volume of newly discovered unconventional resources as it approved a 5-year spending plan for the Abu Dhabi National Oil Company (ADNOC). The Supreme Petroleum Council, which also serves as ADNOC’s board of directors, placed the estimated reserves of unconventional oil within the Emirate of Abu Dhabi at 22 billion bbl, according to a government news release on 22 November. The figure would place the UAE’s tight reservoir potential on par with that of some of the biggest plays in North America. The government also said that an additional 2 billion bbl of reserves was also recently discovered, raising the UAE’s total conventional reserve estimate to 107 billion bbl. Both the conventional and unconventional estimates were independently verified by Houston-based reserves specialist Ryder Scott.
Sempra Energy’s Energía Costa Azul LNG (ECA LNG) subsidiary reached a final investment decision (FID) to build its $2-billion Phase 1 natural gas liquefaction export project in Baja California, Mexico. ECA LNG, a joint venture between Sempra LNG and its Mexico subsidiary IEnova, is the only LNG export project to reach FID in 2020, and is slated to be the first on the Pacific Coast of North America. The facility will connect natural gas supply from Texas and the western US to Mexico and other countries across the Pacific Basin. First production from Phase 1 is expected in late 2024. The company secured a 20-year supply agreement with Mitsui and an affiliate of Total for the purchase of 2.5 mtpa and is working with Total for a potential equity investment in the facility.
The Abu Dhabi National Oil Company (ADNOC) announced that it has completed the first phase of its large-scale multiyear predictive maintenance project, which aims to maximize asset efficiency and integrity across its upstream and downstream operations. ADNOC says its predictive maintenance platform uses artificial intelligence (AI) technologies such as machine learning and digital twins, ADNOC’s to help predict equipment stoppages, reduce unplanned equipment maintenance and downtime, and increase reliability and safety. The company said it expects use of the platform to result in maintenance savings of up to 20%. The predictive maintenance project, which was announced in November 2019, is being implemented over four phases. ADNOC’s predictive maintenance project is part of the company’s digital acceleration program, which focuses on embedding advanced digital technologies across the company’s operations.
Asphaltenes in the production process often cause significant damage to oil production operation through the continuous growth process (precipitation followed by aggregation and finally deposition) of their particles. To mitigate the asphaltene-induced problems, Asphaltene Inhibitor is used to control precipitation and/or deposition of asphaltene particles. In addition to the typical ambient-conditioned Asphaltene Inhibitor-evaluation known as Asphaltene Dispersancy Test, this study applied the Dynamic Asphaltene Inhibitor Test to select candidate Asphaltene Inhibitors at operating conditions. The Dynamic Asphaltene Inhibitor Test used a simple dynamic flow equipment consisting of capillary coil and filter to detect asphaltene precipitation and deposition independently.
Based on Asphaltene Inhibitors experimentally screened through a series of Dynamic Asphaltene Inhibitor Test, four Asphaltene Inhibitor numerical models were reproduced to assess how Asphaltene Inhibitors mitigating asphaltene risks. A numerical model assuming no Asphaltene Inhibitor was built as reference by calibrating with conventional Pressure Volume Temperature (PVT) experimental results and asphaltene onset pressure. Asphaltene Inhibitor models were generated from the reference model on the basis of comprehensively interpreted data containing available Asphaltene Inhibitor characteristic information. In the Asphaltene Inhibitor models, pseudo heavy components of the crude oil used in Dynamic Asphaltene Inhibitor Test were characterized with cubic-plus-association equation of state. The Asphaltene Inhibitor models were validated by comparing with the relative Asphaltene Inhibitor's effectiveness in experimental evaluation. To understand transition from Asphaltene Precipitation Envelopes to Asphaltene Deposition Envelope, the findings of deposition-information from the Dynamic Asphaltene Inhibitor Test were incorporated into the Asphaltene Inhibitor models. To be more specific, the deposition behavior was estimated on thermodynamic plot by assuming the Dynamic Asphaltene Inhibitor Test condition as pseudo onset condition. The Asphaltene Precipitation Envelopes on thermodynamic plots revealed causing asphaltene precipitation possibly in part of the operation conditions even using Asphaltene Inhibitor. On the other hand, Asphaltene Deposition Envelope suggested that Asphaltene Inhibitor application could reduce asphaltene deposition over a wide range of the operation condition. The upper-boundary locations of Asphaltene Precipitation Envelopes and Asphaltene Deposition Envelope were apart from each other. The fact revealed that Asphaltene Inhibitor could delay asphaltene aggregation and deposition after precipitation. This paper describes a more realistic Asphaltene Inhibitor modeling method based on the Dynamic Asphaltene Inhibitor Test measurement results.
ADNOC LNG signed a supply agreement for up to 6 years with Vitol for the sale of 1.8 mtpa of post-2022 LNG volumes, and a 2-year supply agreement with Total for 0.75 mtpa of 2021 and 2022 LNG volumes. The agreements continue ADNOC’s transition to a multi-customer strategy that began in 2019, and follow its investment partnership with Vitol in global storage terminal owner and operator VTTI. Since then, the company shifted from supplying 90% of its LNG to Japan to supplying 90% of LNG to clients in more than eight countries from across southern and southeast Asia. The agreement is also in line with its 2030 gas strategy to deliver value for UAE and meet global demand, which is expected to grow by up to 5% annually over the next 20 years. ADNOC LNG, owned by ADNOC (70%), Mitsui & Co (15%), BP (10%), and Total (5%), produces about 6 mtpa of LNG from its Das Island facilities off the coast of Abu Dhabi.
The Abu Dhabi National Oil Company (ADNOC) completed the first phase of its large-scale multiyear predictive maintenance project to improve asset efficiency and integrity across its upstream and downstream operations. Announced in November 2019, the project is being implemented over four phases as part of the company’s digital acceleration program to embed advanced digital technologies across its operations. Phase 1 covers the modeling and monitoring of 160 turbines, motors, centrifugal pumps, and compressors across six ADNOC Group companies. All phases of the project are expected to be completed by 2022 and will enable monitoring of up to 2,500 critical machines. Using artificial intelligence (AI) technologies including machine learning and digital twins, the company’s predictive maintenance platform helps with equipment stoppages, reduces unplanned equipment maintenance and downtime, increases reliability and safety, and is expected to deliver maintenance savings up to 20%.
UAE Has Become World's Newest Producer Of Unconventional Gas The United Arab Emirates (UAE) has become the latest country to prove that the unconventional oil and gas sector is becoming firmly an international one. This comes as the Abu Dhabi National Oil Company (ADNOC) and its French partner Total announced today the first delivery of unconventional gas from a jointly operated onshore field in the UAE. ADNOC said the gas delivery represents a major advance toward the company’s goal of producing 1 Bcf/D by 2030, enough to meet all the UAE’s domestic natural-gas demand. The shale-gas field where ADNOC and Total hope to accomplish this is known as the Ruwais Diyab Unconventional Gas Concession and is located almost 125 miles from Abu Dhabi. The companies said they used a fast-track approach to expedite the midstream components needed to move the gas from the greenfield to existing processing facilities.
Reservoir model history matching is the solving process of a complex inverse equation mainly relating reservoir and well properties to observed data using a time and space discretized numerical model. A challenging task for engineers but a prerequisite to a vital tool to field development and business planning. This paper presents the calibration of a giant Middle East carbonate reservoir from scratch following a major field review. The objective of this integrated history match was to provide a reliable and sustainable representation of the reservoir in order to:
Predict performance, necessary strategies and expenditures for field development Reproduce the fluid distribution and the flow mechanism Represent the areas of the reservoir where there are no data Discover then solve or anticipate any operational issue
Predict performance, necessary strategies and expenditures for field development
Reproduce the fluid distribution and the flow mechanism
Represent the areas of the reservoir where there are no data
Discover then solve or anticipate any operational issue
It is a tedious work to calibrate coherently the static and dynamic models of a Giant field with complex geological heterogeneities, more than a thousand wells and forty-four years of history where multiple scenarios can coexist. This paper will present the workflow used to achieve a reliable and sustainable representation while narrowing down the number of solutions by using:
Theoretical and analytical calculations on paper to assess the foundation and physics behind the reservoir behavior Phenomenological models to understand the main drivers and reproduce the flow mechanism with a more flexible tool Regional geology and migration history to estimate untested parameters away from the oil pool especially inside the aquifer An iterative and innovative Static-Dynamic integrated process to generate a reservoir characterization honoring geology and performance at the same time
Theoretical and analytical calculations on paper to assess the foundation and physics behind the reservoir behavior
Phenomenological models to understand the main drivers and reproduce the flow mechanism with a more flexible tool
Regional geology and migration history to estimate untested parameters away from the oil pool especially inside the aquifer
An iterative and innovative Static-Dynamic integrated process to generate a reservoir characterization honoring geology and performance at the same time
The applied workflow revealed for the first time the magnitude of the natural energy of the reservoir that contributes significantly (15-20%) to the energy loss. A revelation that changed the reservoir development strategy going forward. It inspired innovative methods to capture horizontal and vertical permeability needed to reproduce field performance on surface and flow dynamics inside the reservoir.
This comprehensive and integrated workflow generated a reliable and sustainable tool and put in place different technics to achieve an updated history match relatively quickly.