改进遗传算法及其在钻井液设计中的运用

在深井、超深井以及地层复杂等条件下，为了避免或减少钻井事故的发生，达到优质快速钻井的目的，选择合适的钻井液体系至关重要。基于案例推理（CBR，Case-Based Reasoning）的钻井液设计中，钻井液体系由岩性、井型和井深等属性推理得出，但属性权重的分配会对推理结果产生显著的影响；遗传算法在优化属性权重时，存在收敛速度慢、收敛精度低的缺点。针对上述问题，提出一种解决CBR中属性权重分配问题的改进遗传算法。首先，对遗传算子进行改进：选择算子方面，利用指数尺度变换法优化个体选择；交叉算子方面，对算术交叉中的比例因子进行自适应调整；变异算子方面，改进个体变异方向，保持种群多样性。其次，从个体适应度和交叉个体的差异程度两方面实现交叉概率自适应调整。最后，通过对UCI数据集的对比实验，证明了改进后的遗传算法能改善全局收敛性能，提高CBR的准确率。将该算法运用到基于CBR的钻井液设计中，实验结果表明，所提方法能够优化属性权重的分配，进而提高钻井液设计的质量。     

Tailoring soft magnetic properties of Fe-based amorphous alloys through C addition

It is known that developing Fe-based amorphous alloys with the saturation flux density(B_s) higher than 1.65 T is a major challenge.In present work,effects of C addition on magnetic properties of Fe-based amorphous alloys were systematically studied.It has been found that the addition of C can significantly increase the saturation flux density(B_s) and the magnetic flux density at 800 A/m(B_(800)) of the Fe-B-C-Si-P amorphous alloys.After the addition of C,the B_s of the amorphous alloys increase from 1.61 T(Fe_(83)B_(13)Si_3 P_1) to 1.65-1.71 T(Fe_(83)B_(13-x)C_xSi_3 P_1,x=1.5,2,3 and 4). The Fe_(83)B_(10)C_3 Si_3 P_1 amorphous alloy possesses excellent soft magnetic properties with high B_s of 1.71 T and low H_c of 1.5 A/m.It shows that density increase of the alloys and weakened metalloid-sp/metal-d bonding caused by C addition contribute to the increment of B_s.It suggests that the newly developed high-performance amorphous alloys possess great potential in application.     

Effect of Al on microstructure and mechanical properties of as-extruded Mg–1Mn alloy sheet

The effect of Al addition on microstructure and mechanical properties of hot extruded Mg–1 Mn alloy sheet was investigated. The results revealed that the dynamic recrystallization was promoted by increasing Al content. The ultimate tensile strength and yield strength of the alloy increased with the increase of Al content. The Mg–9 Al–1 Mn alloy exhibited the highest strength, with tensile strength of 308 MPa, 307 MPa, 319 MPa, yield strength of 199 MPa, 207 MPa, 220 MPa and the elongation of 20.9%, 20.1%, 19.2% in 0°, 45°, 90°, respectively.The high strength was mainly attributed to the formation of fine dynamically recrystallized grains and large amounts of the second phase. The strengthening mechanism of the alloys was explained.     

Microstructure,mechanical properties and wear resistance of an Al–Mg–Si alloy produced by equal channel angular pressing

Microstructure, mechanical properties and wear resistance in an ultrafine-grained Al–Mg–Si alloy fabricated utilizing a combination of equal channel angular pressing (ECAP) and dynamic aging were investigated in this paper. The results indicated that the grain size of the ECAP alloy was significantly refined, i.e., to ~239 nm after three ECAP passes. Meanwhile, the yield and tensile strength of the ECAPed material reached 340 MPa and 445 MPa, respectively, while maintaining a significant uniform elongation of 14%. Wear resistance results demonstrated that the wear rate, wear depth and width of the ECAPed material decreased in comparison with the solution-treated (SST) and peak-aged (T6) conditions under a load range of 5–25 N. The adhesive wear that occurs in the undeformed specimens at 10 N does not appear in the ECAPed specimen at the same load, indicating that the ECAPed specimen delay the appearance of more serious wear mechanisms under certain loads. The cooperative interaction of high density nano-scale β" precipitates and dislocations resulted in a combination of super-high strength and good work hardening ability which suppressed the extension of cracks between the friction layer and the plastic deformation zone. As a consequence, the combination of ECAP and dynamic aging brings a significant improvement for antifriction performance of the 6061 aluminum alloy.     

Effect of heat treatment on microstructures and properties of a novel Al-Zn-Mg-Cu alloy for oil drilling

In view of the special requirements for strength, heat resistance and corrosion resistance of Al-Zn-Mg-Cu alloy for oil drilling, the Al-6.2 Zn-2.5 Mg-1.6 Cu alloy was prepared by increasing Cu content on basis of Russian Series 1953 alloy. The effect of heat treatment on the microstructures and properties of the alloy was characterized by optical microscope(OM), scanning electron microscope(SEM) and transmission electron microscope(TEM), and investigated by tensile test at room temperature, thermal exposure test and corrosion test. The results show that the strength after T6 aging treatment exhibit a decrease trend as an increase of the solution temperature from465 °C to 480 °C. After the solution treated by the rate of 470 °C/1 h, second phases dissolve into the matrix very well and the strength property reaches optimum. The alloy has better comprehensive properties treated by a solution treatment of 470 °C/1 h and then followed by an aging treatment of 120 °C/24 h + 170 °C/1 h + 120 °C/24 h. Under the aging state, the precipitated phases inside the grains are suitable in size, while on the grain boundary distribute discontinuously and the precipitate-free zone is obvious. Besides, the alloy still maintain high tensile properties. The yield strength, tensile strength and elongation are 650 MPa, 686 MPa,12.0%, respectively. The yield strength retention after heat exposure is 92%. The alloy has good corrosion resistance and the exfoliation corrosion degree. The average corrosion rate in the H_2S and CO_2 environment is 0.0024 mm/a, which is far less than the required 0.12 mm/a. It is insensitive to H_2S and CO_2 environments.     

非同分布φ混合序列加权和的强极限收敛性

利用φ混合序列矩不等式和截尾的处理方法,研究非同分布φ混合序列加权和强极限收敛性质的问题,得到了若干新结果,推广并改进了独立同分布情形下的相应结果.     

循环作用对马蹄寺石窟群岩体性能的影响

马蹄寺石窟群地处河西走廊中部,气候条件十分恶劣。由于常年受到温度、湿度、酸碱盐等作用的影响,石窟岩体性能出现了不同程度的劣化现象。通过开展室内模拟试验,研究以上多种恶劣环境的循环作用对于岩体抗压强度、波速、质量的影响规律,同时使用X射线衍射仪(X-ray diffraction,XRD)、X射线荧光光谱(X-ray fluorescence,XRF)和扫描电子显微镜(scanning electron microscope,SEM)对循环作用过程中样品的矿物组分、元素含量和微观形貌进行分析研究。研究结果表明,循环作用使样品中的长石类矿物和方解石含量降低,黏土类矿物含量增加,胶结程度下降,孔隙逐渐发展成为横向微裂隙,导致样品的性能出现不同程度的劣化现象。循环作用对岩体性能的影响程度从大到小依次为冻融循环、耐盐循环、耐碱循环、耐酸循环和温湿循环。     

海上电泵结蜡井热循环洗井工艺参数优化设计

为探索海上油田电泵举升结蜡井热循环洗井工艺井筒温度场分布规律，综合考虑潜油电机增温、电缆散热、热流体注入量、注入深度、注入温度、结蜡管段传热和海水空气导热的影响，基于热能守恒原理，建立了电泵井结蜡热循环洗井工艺井筒温度场计算模型，分析了热流体注入温度和注入量对混合产出流体的井筒温度分布的影响。研究结果表明，随着注入量的增加混合产出液沿程井筒温度增加，随着注入温度的增加混合产出液沿程井筒温度增加。该方法可有效指导现场措施工艺的实施，达到延长结蜡井的清蜡周期、延缓产液/产油量下降速度的目的。     

高温作用后砂岩物理力学性质阈值温度的确定——基于机器学习算法

通过采用机器学习算法，提出了高温作用后砂岩物理力学性质变化的阈值温度的确定方法。基于Python语言，利用K-Means、SVM算法，实现了对样本数据的分类和聚类，确定了阈值温度区间，验证了二分类法的合理性和准确性.结果表明，砂岩样本的阈值温度区间为400~600 ℃，阈值温度上下砂岩的物理力学性质存在显著差异，体现为阈值温度区间以下的岩样物理力学性质较为分散，而阈值温度区间以上的岩样物理力学性质较为集中.     

医药洁净室的计算流体动力学模拟及实测对比

采用计算流体动力学(CFD)模拟,研究3个医药洁净室的气流流型及颗粒物浓度.采用标准k-ε双方程模型,通过模拟颗粒物在洁净室的分布,分析合理的污染物散发位置及散发比例.对比参考发尘量下的结果与实测数据的差异,根据实测数据确定污染散发量,通过试验不同的单位容积发尘量,计算对应的洁净度,得到与实测数据吻合最好的单位容积发尘量.在单位容积发尘量为1 000pc·(m3·min)-1计算条件下,各房间的模拟结果与实测数据数值比较吻合,且经CFD预测的3个房间的洁净度变化趋势与实测一致.