石油钻采工艺
石油鑽採工藝
석유찬채공예
OIL DRILLING & PRODUCTION TECHNOLOGY
2015年
3期
11-14,22
,共5页
管志川%赵廷峰%胜亚楠%魏凯
管誌川%趙廷峰%勝亞楠%魏凱
관지천%조정봉%성아남%위개
钻井风险%概率%隶属度函数%模糊判别
鑽井風險%概率%隸屬度函數%模糊判彆
찬정풍험%개솔%대속도함수%모호판별
drilling risk%probability%subordinating degree function%fuzzy discrimination
由于地质构造复杂和地质特征参数难以预测,复杂地层钻井具有高风险与高投入的特点。因此,井下工程风险程度的合理判别,对于钻井工程方案的风险决策具有重要的意义。针对这一问题,建立了基于风险概率和模糊理论的风险程度判别模型。首先,对常见井下工程风险进行风险概率计算;然后,在此基础上结合井史资料中的事故记录,利用模糊数学理论构造不同程度区间的隶属度函数;最后,根据隶属度进行区间划分,从而实现工程风险的程度判别。应用该方法对西部某地区的钻井资料进行实例分析,结果表明,该方法的判别结果与工程实际情况基本吻合,满足工程实际需要,能够为钻井工程方案设计提供风险判断依据。
由于地質構造複雜和地質特徵參數難以預測,複雜地層鑽井具有高風險與高投入的特點。因此,井下工程風險程度的閤理判彆,對于鑽井工程方案的風險決策具有重要的意義。針對這一問題,建立瞭基于風險概率和模糊理論的風險程度判彆模型。首先,對常見井下工程風險進行風險概率計算;然後,在此基礎上結閤井史資料中的事故記錄,利用模糊數學理論構造不同程度區間的隸屬度函數;最後,根據隸屬度進行區間劃分,從而實現工程風險的程度判彆。應用該方法對西部某地區的鑽井資料進行實例分析,結果錶明,該方法的判彆結果與工程實際情況基本吻閤,滿足工程實際需要,能夠為鑽井工程方案設計提供風險判斷依據。
유우지질구조복잡화지질특정삼수난이예측,복잡지층찬정구유고풍험여고투입적특점。인차,정하공정풍험정도적합리판별,대우찬정공정방안적풍험결책구유중요적의의。침대저일문제,건립료기우풍험개솔화모호이론적풍험정도판별모형。수선,대상견정하공정풍험진행풍험개솔계산;연후,재차기출상결합정사자료중적사고기록,이용모호수학이론구조불동정도구간적대속도함수;최후,근거대속도진행구간화분,종이실현공정풍험적정도판별。응용해방법대서부모지구적찬정자료진행실례분석,결과표명,해방법적판별결과여공정실제정황기본문합,만족공정실제수요,능구위찬정공정방안설계제공풍험판단의거。
Due to the fact that the geological structures are complex and the geological feature parameters are hard to predict, the drilling operation in complex formations is characterized by high risk and high investment. Therefore, reasonable discrimination of downhole engineering risk degrees is of great signiifcance to risk decision for drilling engineering program. For this problem, a model is built for discriminating the risk degree based on risk probability and fuzzy theory. Firstly, calculate the risk probability of common downhole engineering risks. Then, based on which and in conjunction with the incident records in the well history data use fuzzy mathematical theory to construct the subordinating degree function between various degree intervals. Finally, delineate the intervals according to subordinating degree, hence realizing the discrimination of engineering risk degrees. After outlining its discriminating principle, then the drilling data from somewhere in the west is taken as an example. Example analysis shows that the discriminating result of this method almost agrees with the actual engineering and satisifes the real need of drilling engineering and can provide basis for risk discrimination for the design of drilling engineering program.