石油与天然气地质
石油與天然氣地質
석유여천연기지질
OIL & GAS GEOLOGY
2015年
1期
154-161
,共8页
盛秀杰%金之钧%肖晔%王义刚%蒋瀚
盛秀傑%金之鈞%肖曄%王義剛%蔣瀚
성수걸%금지균%초엽%왕의강%장한
概率组合加和%概率树%不确定性体积法%含油气性风险依赖%圈闭评价优选
概率組閤加和%概率樹%不確定性體積法%含油氣性風險依賴%圈閉評價優選
개솔조합가화%개솔수%불학정성체적법%함유기성풍험의뢰%권폐평개우선
summation of probability combination%probability tree%undeterministic volumetric method%discovery risk de-pendence%trap assessment and target optimization
“至少有一个次级圈闭含有油气”的组合概率分析技术可评价圈闭的含油气性,评价结果反映了所有可能同时含有油气的圈闭组合形式。但受限于客观地质条件约束,有些圈闭是不应该同时出现的———不同圈闭组合形式对资源量计算有直接影响。为了计算符合地质模型约束的圈闭组合概率,界定了次级圈闭的含油气性定量评价模型的地质涵义,指出次级圈闭含油气性评价本质上是遵循贝叶斯分析原则,包括边际概率和条件概率两部分评价内容,分别体现全局成藏和局部成藏的可能性。首先,强调不同圈闭成藏时会存在明显的地质相关性,单个层圈闭的评价是以全局成藏可能性为前提进行评价;其次,通过对应边际概率的可能取值范围,区分了“完全独立”、“部分决定”和“完全决定”3种不同含油气性风险依赖类型,而不同依赖类型直接决定了到底哪些圈闭组合才符合当前地质认识;最后,为油气资源一体化评价软件平台( PetroV)设计了一种改进的概率树分析技术,与不确定性体积法有机结合,实现了“基于含油气性风险依赖的概率组合加和”资源量计算方法。实例证明,要想获得较为客观的圈闭定量评价结果,需要充分考虑其所属不同次级圈闭间的含油气性风险依赖类型,并依此为基础才能给出对应合理地质模型解释的不确定性油气资源量分布结果。
“至少有一箇次級圈閉含有油氣”的組閤概率分析技術可評價圈閉的含油氣性,評價結果反映瞭所有可能同時含有油氣的圈閉組閤形式。但受限于客觀地質條件約束,有些圈閉是不應該同時齣現的———不同圈閉組閤形式對資源量計算有直接影響。為瞭計算符閤地質模型約束的圈閉組閤概率,界定瞭次級圈閉的含油氣性定量評價模型的地質涵義,指齣次級圈閉含油氣性評價本質上是遵循貝葉斯分析原則,包括邊際概率和條件概率兩部分評價內容,分彆體現全跼成藏和跼部成藏的可能性。首先,彊調不同圈閉成藏時會存在明顯的地質相關性,單箇層圈閉的評價是以全跼成藏可能性為前提進行評價;其次,通過對應邊際概率的可能取值範圍,區分瞭“完全獨立”、“部分決定”和“完全決定”3種不同含油氣性風險依賴類型,而不同依賴類型直接決定瞭到底哪些圈閉組閤纔符閤噹前地質認識;最後,為油氣資源一體化評價軟件平檯( PetroV)設計瞭一種改進的概率樹分析技術,與不確定性體積法有機結閤,實現瞭“基于含油氣性風險依賴的概率組閤加和”資源量計算方法。實例證明,要想穫得較為客觀的圈閉定量評價結果,需要充分攷慮其所屬不同次級圈閉間的含油氣性風險依賴類型,併依此為基礎纔能給齣對應閤理地質模型解釋的不確定性油氣資源量分佈結果。
“지소유일개차급권폐함유유기”적조합개솔분석기술가평개권폐적함유기성,평개결과반영료소유가능동시함유유기적권폐조합형식。단수한우객관지질조건약속,유사권폐시불응해동시출현적———불동권폐조합형식대자원량계산유직접영향。위료계산부합지질모형약속적권폐조합개솔,계정료차급권폐적함유기성정량평개모형적지질함의,지출차급권폐함유기성평개본질상시준순패협사분석원칙,포괄변제개솔화조건개솔량부분평개내용,분별체현전국성장화국부성장적가능성。수선,강조불동권폐성장시회존재명현적지질상관성,단개층권폐적평개시이전국성장가능성위전제진행평개;기차,통과대응변제개솔적가능취치범위,구분료“완전독립”、“부분결정”화“완전결정”3충불동함유기성풍험의뢰류형,이불동의뢰류형직접결정료도저나사권폐조합재부합당전지질인식;최후,위유기자원일체화평개연건평태( PetroV)설계료일충개진적개솔수분석기술,여불학정성체적법유궤결합,실현료“기우함유기성풍험의뢰적개솔조합가화”자원량계산방법。실예증명,요상획득교위객관적권폐정량평개결과,수요충분고필기소속불동차급권폐간적함유기성풍험의뢰류형,병의차위기출재능급출대응합리지질모형해석적불학정성유기자원량분포결과。
The combination probability,the possibility that at least one segment contains hydrocarbons,can be used to assess the discovery probability of a trap.Obviously,‘at least one segment containing oil/gas’ reflects all possibilities of trap combinations.However,some traps should not be treated as one combination due to the constraint of special geo-logical conditions.The trap combinations have direct influences on the estimation of geological resource .In order to cal-culate trap combination probability under the constraint of geologic models,this paper first cleared geological meaning of current evaluation model for segment and demystified its mysterious hype .It is in fact a classical Bayes mathematical model consisting of marginal and conditional probability ,which quantifies separately the overall accumulation conditions or play-level and local accumulation conditions .Geological correlations do exist among different traps when hydrocar-bons accumulate in them,thus the evaluation of single trap should be based on the prerequisite of possibility of overall hydrocarbon accumulation.Secondly, corresponding to the value range of marginal probability , this paper recognizes three geological risk dependence types including full independence,partial dependence and full dependence.These de-pendence types can directly determine which traps are concordant with current geologic knowledge .Finally, an im-proved probability tree technique was designed for the petroleum integrated assessment software ( PetroV) .When inte-grated with the non-deterministic volumetric method , it can realize resource volume estimation through ‘summation of probability combinations based on geological risk dependency ’ .Case study shows that geological risk dependence types play a key role in quantitative evaluation of traps and mapping of uncertain petroleum resource distribution correspond-ing to reasonable geologic model interpretations.