
隨著作業時間延長,井架工的作業效率也急劇下降,這將會嚴重影響作業效益。因此,為解放井架工雙手,RigArm公司研發了一種新型智能機械臂。
作者 | Alex Endress
編譯 | 二丫 白礬
鉆井設備廠商RigArm的研究數據顯示:鉆井作業過程中,最好的井架工排列管柱工作的初期速率約為20秒/根。但這只是精力充沛時的最高速率,隨著作業時間延長,作業人員的疲勞程度也相應增加,效率隨之下降。RigArm創始人兼負責人Vlad Jorgic說:“假設一個井架工在二層臺要排列200根管柱,那么疲勞程度加劇,毫無疑問,工作速率也會迅速下降?!睘榱藢崿F陸地鉆機二層、三層臺管柱排布自動化,RigArm正在研發一款智能液壓機械臂?!拔覀兊哪繕耸菍崿F管柱排布的自動化,控制人員只要在司鉆房內發布指令,機械臂就能完成整個流程?!?/span>
機械臂重量僅為2000lb,一般固定在二層臺,操作人員在司鉆房內發布指令,機械臂在液壓控制下就可以完成所有工作,RigArm聲稱其機械臂的工作速率可以達到20~25根/秒。
為了掃描二層臺景象和精確排布管柱,同時避免設備碰撞,機械臂的頂端安裝了一個激光探測傳感器(LIDAR)和兩個超聲波傳感器。Mr Jorgic說,“傳感器尋找到管柱,然后機械臂執行排列操作。管柱的位置并不固定,所以自動導向功能就顯得非常重要了?!?/span>
LIDAR傳感器
超聲波傳感器在油氣行業的應用已經非常普遍,但LIDAR傳感器的跨界應用(借鑒于自動化行業)還是首次。LIDAR最早出現在1960年,2000年之后制造業的快速發展帶動了LIDAR的廣泛應用,2010年之后,自動化行業開始將LIDAR應用到汽車無人駕駛技術的研發中。
Mr Jorgic表示,正是意識到了無人駕駛汽車對路況識別與機械臂對鉆桿識別的相似性,RigArm才決定將LIDAR傳感器引入到機械臂的設計中?!般@臺上的情況復雜多變,我們要隨時做好作業不順利的準備,所以機械臂應該能夠快速識別作業條件的變化,并可以迅速做出反應,這就是引入LIDAR的意義?!?/span>
RigArm機械臂研發挑戰
機械臂研發過程中最大的挑戰是對管柱定位算法的優化,Mr Jorgic表示,“目前研發人員正在嘗試將算法與機械臂攝像機的三維掃描影像結合在一起,希望以此來解決定位的難題。如果某個傳感器的數據與三維影像不一致,那么系統將會自動忽略來自該傳感器的錯誤數據,以保證作業順利進行。常規機械臂操作程序都是預先植入的,而我們公司要做的則完全不同,我們設計的機械臂具有自主的行為規劃功能,它能根據環境變化更新自身程序?!?/span>
RigArm機械臂研究進展
目前,RigArm公司的機械臂已經完成了實驗室測試,正在北美陸地油田尋找現場測試的機會,預計測試將會持續至少六個月?!拔覀兿朐诂F場油管排列工作中測試機械臂工作性能,穩定性數據對我們來說非常重要,對那些對機械臂的高效性感興趣但不愿承擔相關風險的開發商也同樣重要,所以我們必須要證明研發的機械臂具有極好的穩定性?!?/span>
Mr Jorgic多次強調:“我們研發的機械臂并不是通過操作桿進行遠程控制,因為那樣的操作難度太大了。管柱排布的整套工作都可以由我們研發的機械臂自動完成,操作人員只需在司鉆房內按下驅動按鈕即可?!贬槍δ壳斑€在測試中的機械臂,Mr Jorgic表示該產品有望在今年首次在北美市場投入應用。
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The best derrickmen in the drilling business can rack a stand of pipe at an approximate rate of about 20 seconds per pipe at the start of a tour, according to RigArm, a Calgary-based drilling equipment manufacturer. However, fatigue then begins to set in and can affect performance. “If somebody is standing on top of the rig and needs to move around 200 pipes, the speed will deteriorate over time as they get tired,” Vlad Jorgic, RigArm Co-Founder, President and Software Developer, said. To automate pipe handling on double and triple land rigs, the company is developing the Intelligent Hydraulic Pipe Handling Robotic Arm. “Our goal is for the operator in the control room to be able to tell the machine what to do and allow the machine to complete the entire sequence.”
The hydraulically powered robotic arm, which weighs just under 2,000 lb, would be bolted onto the rig’s racking board and controlled from the driller’s cabin. It can rack a stand of pipe in an estimated 20-25 seconds, according to the company.
The machine will be equipped with a light detection and ranging (LIDAR) sensor and two ultrasonic sensors, located at the tip of the arm, to scan the racking board and precisely locate each stand of pipe. This will help to prevent any equipment collisions. “It senses where the pipe is and then it reaches for it. We have realized that you can’t rely on things being at fixed positions on drilling rigs, so the machine is able to navigate to find the pipe,” Mr Jorgic said.
Ultrasonic sensors are already commonly used in the oil and gas industry, but LIDAR sensors are a relatively new technology being borrowed from the automotive industry. Although LIDAR technology has been available since the 1960s, LIDAR sensors did not become widely used until the manufacturing industry adopted them in the 2000s. Since 2010, the automotive industry also has begun using the sensors to assist in the development of autonomous car prototypes.
Mr Jorgic said his company recognized the similarity between how an autonomous car must react to road conditions and how the robotic arm would need to react in a drilling operation, leading to the adoption of LIDAR sensors for RigArm. “The conditions on drilling rigs are demanding and uncertain. Things move, shake and you can expect that nothing will go as expected, so we needed a system that can understand these changes and quickly adapt on its own, which is what LIDAR technology allows.”
The main challenge in developing the robotic arm has been refining algorithms to allow the arm to properly locate the pipe. Mr Jorgic said the company is experimenting with algorithms that coordinate with cameras mounted onto the robotic arm to scan a three-dimensional image of the environment. If one of the device’s sensor readings doesn’t match the 3D scan, the system’s algorithms will ignore data from the faulty sensor in order to keep the machine operational. “The machine is much different than traditional robotics where everything is preprogrammed. This actually uses motion-planning algorithms that allow it to basically program itself based on changes in the environment.”
The robotic arm has been tested in a lab, and the company is now seeking to test the machine on a North American land rig for at least six months. “We would like to get the machine onto a live well to prove it can work reliably in the field,” he said. “Proving the reliability is very important because we’ve seen mixed feelings from drilling contractors who have worked with these types of machines and have not been successful – which is maybe why we still see a lot of manual pipe handling.”
Mr Jorgic emphasized that this robotic arm is not something that the derrickman would operate remotely with joysticks, which can be challenging to control. The pipe-handling sequence would be carried out autonomously by the robotic arm once the driller pushes a button in his cabin. Pending the field trial, Mr Jorgic said, the robotic arm is expected to become commercial for the North American market by 2017.
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