Reference health
An improved particle swarm algorithm to optimize PID neural network for pressure control strategy of managed pressure drilling
7/7 checkable references clean · checked 2026-08-11
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
20 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 7 checked references that resolve
resolves10.2118/128424-PA
Evaluation of Alternative Initial Responses to Kicks Taken During Managed-Pressure Drilling
resolves10.2118/174073-MS
Case Study of Managed Pressure Tripping Operation through Abnormal Formations in West Canadian Sedimentary Basin
resolves10.2523/IPTC-15414-MS
Optimization of Drilling & Production Operations By Application of MPD Technique on Indian Offshore Basins - A Strategic Approach
resolves10.1166/jctn.2016.5709
An Approach to Interval-Valued Intuitionistic Fuzzy Multiple Attribute Decision Making Based on the MSM Operator and Their Applications to Online Advertising Publisher Evaluation
resolves10.1016/j.asoc.2015.10.004
A novel stability-based adaptive inertia weight for particle swarm optimization
resolves10.1007/s00521-014-1805-8
Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID
The 20 references without a DOI — listed, not checked
no DOI — not checkedNie X, Chen Y, Meng Y, Yang C, Yan J, Wang Z (2010) Current status and development strategy of managed pressure drilling technology. Drill Prod Technol 02:38–39
no DOI — not checkedYang X, Zhou Y, Fang S, Liu W (2011) Design and laboratory test of hierarchical intelligent control system for managed pressure drilling. Pet Drill Tech 04:13–18
no DOI — not checkedLiu W, Shi L, Wang K, Fang S, Guo Q, Yan X, Zhu W (2015) A method for real-time correction of wellbore pressure. China Patent: 201510567464.5
no DOI — not checkedZhang X, Jiang Y, Zhou Y, Liu W, Wang W, Wang K, Yan X (2014) Simulation calculation method for gas-liquid two-phase flow in managed pressure drilling. Chinese Patent: 201410371178.7
no DOI — not checkedKernche F, Hannegan D, Sammat E (2011) Managed pressure drilling enables drilling beyond the conventional limit on an HP/HT deepwater well. SPE142312
no DOI — not checkedCai W (2014) Research on safety real-time monitoring and control analysis system for managed pressure drilling. Southwest Petroleum University
no DOI — not checkedLyons JL (1991) Valve technical manual. Yuan Yuqiu, translated. Mechanical Industry Press, Beijing, pp 57–70
no DOI — not checked(2014) Pressure regulation characteristics of automatic choke manifold in managed pressure drilling. Pet Drill Technol 42(2):18–22
no DOI — not checkedShu H (2006) PID neural network and its control system. National Defense Industry Press, Beijing
no DOI — not checkedDong F (2015) PID controller parameter tuning based on Ziegler–Nichols rule. Autom Instrum 07:105–107
no DOI — not checkedHu S (2007) Automatic control theory, 5th edn. Science Press, Beijing
no DOI — not checkedYang H, Yang Y, Yang L, Dong D (2016) Swarm optimization algorithm with particle selection and memory. Appl Res Comput 04:1039–1043
no DOI — not checkedLi J, Li X, Pian J (2014) Annealing furnace temperature control and improvement of PSO based on fuzzy RBF neural network. J Nanjing Univ Sci Technol 38(3):337–341
no DOI — not checkedWang X, Liang X (2014) Network traffic prediction based BPSO-RBF neural network. Comput Appl Softw 31(9):102–105
no DOI — not checkedHua C, Yi R, Shao G (2011) Algorithm researching of RBF neural network based on improved PSO. Adv Mater Res 104:233–238
no DOI — not checkedNan J, Wang X (2017) Particle swarm optimization algorithm with improved inertia weight. J Xi’an Polytech Univ 31(6):835–840
no DOI — not checkedLiang H, Zou J, Liang W (2017) An early intelligent diagnosis model for drilling overflow based on GA–BP algorithm. Clust Comput 2:1–20
no DOI — not checkedGe L, Hu P, Xie X, Hu Z, Zeng Q, Liao J (2016) Study on high precision swill-cooked dirty oil detection system based on date fusion technology. Oxid Commun 39(1):317–330
no DOI — not checkedLiang HB, Huang XQ, Sun YQ, Chen XZ (2016) A diagnostic model based on support vector machine for the collapse of horizontal well borehole wall. J Residuals Sci Technol 13:167–175
no DOI — not checkedGe L, Hu Z, Ping C et al (2014) Research on overflow monitoring mechanism based on downhole microflow detection. Math Probl Eng 2014:1–6
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